Podcasts about pii

In this powerful bonus episode of Banking on Fraudology, powered by Safeguard, Hailey Windham sits down with Andrea Vallentine, Senior Vice President of Fraud and Risk at Old Glory Bank. The conversation dives deep into Andrea's genuinely excited perspective that "this might actually be the best time to be fighting fraud". We explore the rising momentum of collaboration and shared learning that is unifying the industry against fraudsters. Key Takeaways: Collaboration, AI, and Empathy in Fraud PreventionThe Power of Collaboration: Andrea highlights the exciting activities and investments from groups like Fraud Fight Club, Operation Shamrock, and House of Fraud. The focus is shifting from selling products to learning, educating, and collaborating. The AI Perspective: The industry is moving past fear, recognizing that AI has been around for a long time. The recent AI explosion has gotten people more open to listening, realizing they are already using smart technologies in areas like transaction scoring (e.g., Falcon) and link analysis. A Shift to Purpose: Collaboration is increasing because the industry now recognizes the emotional devastation and human impact of fraud. The focus has moved beyond competing to a shared mission of working together "against the fraudsters". Tips for Smaller Teams (Leveraging AI): Andrea recommends that smaller teams use AI (like ChatGPT) to draft summaries, create templates, and refine procedures. This allows teams to find holes in their processes and generate new ideas without using sensitive PII. The Human Side of Design: Empathy is shaping the next generation of fraud design. Using machine learning to identify patterns of customer friction , and giving real-life stories to team members, helps move them out of "robot mode" and focus on the customer experience. Andrea's Final Thought: AI is not scary, and we have been using it forever in things like marketing suggestions on Amazon. She encourages everyone to get involved and leverage the wealth of existing, shared resources instead of recreating materials. This is a must-listen for executives, investigators, and all fraud professionals who are serious about strengthening prevention efforts and building a fraud-fighting community driven by empathy and innovation. Links:Connect to Andrea on LinkedInLearn more about the Safeguard AI deep dive retreat happening in May : SafeguardEvent.comAbout Hailey Windham:As a 2023 CU Rockstar Recipient, Hailey Windham, CFCS (Certified Financial Crimes Specialist) demonstrated unbounding passion for educating her community, organization and credit union membership on scams in the market and best practices to avoid them. She has implemented several programs within her previous organizations that aim at holistically learning about how to prevent and detect fraud targeted at membership and employees. Windham's initiatives to build strong relationships and partnerships throughout the credit union community and industry experts have led to countless success stories. Her applied knowledge of payments system programs combined with her experience in fraud investigations offers practical concepts that are...

Click here to sign up for a new platform that helps law firms use subscription billing.Here are the top 5 takeaways from this episode:1. Constant Adaptation and Simplification Are Key to Law Firm Success.Both Mathew and Lauren emphasized the importance of regularly reassessing and adapting their practice areas, pricing, and service offerings. Lauren pivoted away from tax debt resolution to focus on estate planning and prenups, while Mathew simplified his pricing structure and eliminated underused features and add-ons.2. Data-Driven Decisions Improve Offerings and Client Experience.They both use a mix of analytics, client feedback, and “gut data” from years of experience to refine their services. This includes tracking which offerings clients actually use, which content gets the most engagement, and adjusting accordingly for better retention and satisfaction.3. Streamlined Onboarding and Intentional Friction Save Time.Mathew shared how he reworked his onboarding process using Google Workspace, Calendly, Stripe, and Google Forms to introduce just enough friction. This helps filter out unqualified leads and ensures new clients are a good fit, saving time for both the lawyer and the client.4. Community and Content Platforms Matter.Lauren's move from MailChimp to Substack for her newsletter and podcast was inspired by the platform's community features and ease of use. Both hosts discussed the value of memorable branding, vanity URLs, and focusing content on topics that resonate most with their audience (like costs, outsourcing, AI, and SOPs).5. Embrace AI and Technology, but Stay Client-Focused.Both are exploring ways to use AI and automation to improve efficiency and client service, such as creating SOPs, using AI prompts, and building tools for solo practitioners. However, they stress that technology should serve the client's needs and not overwhelm them with complexity.Bonus: The most popular content topics for their audiences are costs, outsourcing, AI, finances, and standard operating procedures—indicating a strong interest in practical, efficiency-focused advice for running a modern law firm.__________________________Learn more about A Different Practice.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Here's a link to purchase lifetime access to the recordings of My Shingle's AI Teach-In if you couldn't make it live.I've partnered with Pii to make it easy for you to purchase the hardware I use in my law firm: (1) Studio Setup; (2) Midrange Setup; (3) Highrange Setup.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Check out my other show, the Law for Kids Podcast.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Want to use the subscription model for your law firm? Sign up for the Subscription Seminar waitlist at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscriptionseminar.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

In this episode of the Power Producers Podcast, host David Carothers sits down with Jeff Harris, the CEO and co-founder of Appulate, widely considered the original Insurtech (founded in 2005). Jeff shares Appulate's journey from solving the "abysmal" problem of supplemental form generation to becoming an all-in-one AI solution for agencies. They discuss the critical gap between insurance and technology, how AI is reshaping the industry, and why Appulate is taking a conservative and reliable approach to its implementation. The conversation also covers the dangers of agents using public AI tools with client PII and how technology is the "great equalizer" for small agencies. Key Highlights: The Evolution of the Oldest Insurtech Jeff Harris details Appulate's nearly 20-year history, which began by solving the pain of manual supplemental forms. Today, their Producer Connect platform serves as a "bolt-on" to an agency's AMS, acting as a broad marketing platform that saves time on data entry, obtains loss runs, and integrates with thousands of carrier portals to eliminate redundant work. AI's Role: A Conservative and Reliable Approach While AI is changing the industry, Jeff emphasizes that it must be reliable and consistent. He compares it to Tesla's autonomous driving—it had to be perfected before users could trust it. Appulate currently uses AI where it excels, such as parsing data from loss runs and deck pages, but avoids areas where the industry (like carrier portals) isn't ready for full AI integration, which could cause more problems than it solves. The Danger of "Lazy" AI Implementation  David and Jeff discuss the significant E&O and cyber risk of "fundamentally lazy" agents uploading policies with Personally Identifiable Information (PII) into public Chat-GPT. Jeff stresses the importance of using secure, vendor-provided AI solutions rather than unvetted public tools, highlighting that AI is already being effectively used in areas like fraud detection. AI as the "Great Equalizer" for Agencies Jeff explains that AI is a "once-in-a-generation opportunity" for small and mid-sized agencies to compete with the 100-pound gorillas. By automating manual, time-consuming tasks, AI reduces burnout and turnover, helps retain younger tech-savvy talent, and allows smaller agencies to achieve the same level of output and efficiency as their largest competitors without massive investments in headcount. Connect with: David Carothers LinkedIn Jeff Harris LinkedIn Kyle Houck LinkedIn Visit Websites: Power Producer Base Camp Appulate Killing Commercial Crushing Content Power Producers Podcast Policytee The Dirty 130 The Extra 2 Minutes

Mischa und Pii sind ein bisschen abgeschweift…

Click here to sign up for a new platform that helps law firms use subscription billing.Here are the top 5 takeaways from my conversation with Nancy Fox:* Strategic Networking is Essential: Nancy emphasizes that building relationships with the right people is the foundation of business development, especially for professionals like lawyers and accountants. Networking should be targeted and strategic, not just about meeting as many people as possible.* AI as an Enhancement, Not a Replacement: Both Nancy and Mathew agree that AI is a powerful tool for enhancing professional work, not replacing expertise. AI can save time, provide strategic insights, and help with tasks like business planning and niche analysis, but it cannot substitute for real-world experience and judgment.* The Importance of Specialization and Niche: Specialization is evolving. While AI enables professionals to be more generalist, true differentiation comes from having a clear niche—whether that's a specific industry, demographic, or service. Being specific in your value proposition and target market is key.* Productizing and Recurring Revenue Models: Nancy discusses the value of productizing services and adopting recurring revenue models (like subscriptions or memberships) for professionals who want to scale without building large teams. This approach allows for more predictable income and leverages expertise in a repeatable way.* Embracing Failure and Adaptability: Nancy shares that a willingness to experiment, take risks, and even fail is crucial for growth. She stresses the importance of being willing to try new things, learn from failures, and pivot when something isn't working—qualities that are especially important for entrepreneurs and innovators.__________________________Learn more about Nancy Fox's networking group Wyze Rainmakers.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Here's a link to purchase lifetime access to the recordings of My Shingle's AI Teach-In if you couldn't make it live.I've partnered with Pii to make it easy for you to purchase the hardware I use in my law firm: (1) Studio Setup; (2) Midrange Setup; (3) Highrange Setup.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Check out my other show, the Law for Kids Podcast.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Want to use the subscription model for your law firm? Sign up for the Subscription Seminar waitlist at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscriptionseminar.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

This conversation features insights from Oliver Eden, senior business unit director at Jabil, and Travis Webb, chief scientific officer at PII. Our guests continue their discussion on how autoinjectors and smart technologies can be integrated into clinical trials in a way that isn't problematic or burdensome for patients, particularly for patients that may not be tech savvy. They discuss that by focusing on patient experience, clinical trials can increase engagement and compliance.This episode is presented in partnership with ⁠PII⁠.Host⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Lori Ellis⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Head of Insights, BioSpaceGuestsOliver Eden, Senior Business Unit Director, JabilTravis Webb, Chief Scientific Officer, PIIDisclaimer: The views expressed in this discussion by guests are their own and do not represent those of their organizations.

Welcome to AI Unraveled, Your daily briefing on the real world business impact of AIThe cost of sequencing a human genome has plummeted, but the challenge remains interpretation. We will explore how large AI models are moving from assisting diagnostics to actively designing novel drugs and personalized treatments, and what this means for enterprise R&D budgets and ethical guidelines.Setting the stage:Why is AI essential for genomics now?What is the current bottleneck in drug discovery?How are LLMs being fine-tuned for chemical and biological structures?Specific AI applications that are cutting discovery time.How is AI used in de novo protein design?What is a "digital twin" of a patient, and how does it speed up clinical trials?How do we secure massive genomic datasets (PII)?What happens when models discover biases in existing genetic research?Is personalized medicine an investment or an insurance policy?Which AI capabilities (e.g., small molecule prediction vs. large molecule discovery) yield the highest ROI?What is the single most important hire an R&D department can make in the next 12 months to prepare for the AI-native bio-future?

On May 14, 2025, I presented live on the topic of subscription-based legal services to Shaun Jardine's Value Based Pricing Colony. Here are the top 5 takeaways:1. Start Small with Subscription Models: Law firms interested in moving to a subscription-based pricing model should begin with a pilot program in one practice area, targeting loyal clients and documenting results to build internal support.2. Value Over Time Tracking: The shift from billable hours to subscription or value-based pricing requires a mindset change—focus on the value delivered, not the time spent. This benefits both clients (predictability) and lawyers (better relationships, less stress).3. Tiered Service Packages and Scope Management: Successful subscription models often use tiered packages (e.g., bronze, silver, gold) with clear boundaries. It's important to positively reinforce clients who need more and move them up tiers, rather than penalizing them.4. Not All Clients or Practice Areas Are Equal: Subscription models may not fit every client or practice area, but with thoughtful segmentation and pricing, firms can attract ideal clients and avoid unprofitable work. It's okay—and often necessary—to turn away difficult or low-value clients.5. Market Opportunity and Innovation: There is a huge, underserved “latent legal market” of people and businesses who need legal help but can't afford traditional hourly rates. Subscription and alternative pricing models, supported by technology and automation, can unlock this market and drive innovation in legal services.__________________________Learn more about Shaun Jardine's Value Based Pricing Colony.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Here's a link to purchase lifetime access to the recordings of My Shingle's AI Teach-In if you couldn't make it live.I've partnered with Pii to make it easy for you to purchase the hardware I use in my law firm: (1) Studio Setup; (2) Midrange Setup; (3) Highrange Setup.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Check out my other show, the Law for Kids Podcast.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Want to use the subscription model for your law firm? Sign up for the Subscription Seminar waitlist at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscriptionseminar.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

 | In this episode of Poised for Exit, we sit down with Steve Enzler, Owner and CEO of Tangible Values, a professional services firm supporting the accounting community.Steve shares eye-opening insights into cybersecurity risks that most small businesses and even accounting firms don't realize they're exposed to. From new IRS and FTC requirements to real-world data breach examples, this conversation sheds light on what every business owner needs to know about protecting client information.You'll learn about the Written Information Security Plan (WISP) now required for accounting firms, what “personally identifiable information” (PII) really means, and the practical steps any business can take to protect themselves and their clients.Steve also explains how WispBuilder.com, one of Tangible Values' latest innovations, helps firms easily comply with cybersecurity mandates and avoid devastating fines and data breaches.This is part one of a two-part discussion.Don't miss part two in a few weeks, where Steve dives deeper into real cases and evolving threats.Learn more about Tangible Values hereResources mentioned:WispBuilder.com: Build and maintain your written information security plan.IRS Publication 4557: Safeguarding Taxpayer Data: A Guide for Your Business.New York Attorney General Settlement Announcement: Press release referenced in this episode.Connect with Julie Keyes, Keyestrategies LLCFounder, Consultant, Author, Pod-caster and Instructor

S&P Futures are edging higher this morning as investors digest a busy slate of corporate earnings and await the start of the Federal Reserve's two-day policy meeting. President Trump continues his Asia tour, leaving Japan for South Korea where trade talks are set to take center stage. In corporate news, PayPal teams up with OpenAI to enable in-app purchases through ChatGPT, while new spinoffs from Honeywell and DuPont are set to join the S&P 500 next week. Tesla's EU sales slipped in September even as overall car sales in the region rose. We'll break down all the key movers including BMRN, CARR, UNH, and UPS trading higher after earnings, and AWI, PII, and WM under pressure. Plus, a look ahead to tonight's big reports from Visa and Mondelez, and tomorrow's heavyweights—Boeing, Caterpillar, Verizon, and C

Here are the top 5 takeaways from this episode with Austin Brittenham of 2nd Chair:* AI is Transforming Legal Workflows and the Billable HourAI tools like 2nd Chair are changing how legal work is performed, reducing the need for billable hours and enabling lawyers to work more efficiently. This shift challenges the traditional billable hour model and encourages new business models in law.* Access to Justice and the Latent Legal MarketThere is a huge unmet demand for legal services—most people with legal needs never consult a lawyer. AI-powered tools and new pricing models can help lawyers serve this “latent legal market,” expanding access to justice and creating new revenue opportunities.* Differentiation in Legal AI: Engineering and User Experience2nd Chair differentiates itself from competitors by building custom solutions for parsing legal documents and providing AI with citations, making it more reliable and useful for lawyers. Transparent, simple subscription pricing is also a key part of their appeal.* The Evolving Role of LawyersAI is automating much of the routine, document-heavy work that has dominated legal practice since the rise of the billable hour. This is pushing lawyers back toward their traditional roles as counselors, advisors, and advocates, focusing on higher-value tasks that require human judgment.* Changing Consumer Expectations and Legal Service DeliveryClients are increasingly using AI tools themselves before consulting lawyers, which changes their expectations for speed, cost, and value. Lawyers need to adapt by leveraging AI to deliver faster, more cost-effective, and higher-quality services, while maintaining the human accountability clients still demand.__________________________Learn more about 2nd Chair.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Here's a link to purchase lifetime access to the recordings of My Shingle's AI Teach-In if you couldn't make it live.I've partnered with Pii to make it easy for you to purchase the hardware I use in my law firm: (1) Studio Setup; (2) Midrange Setup; (3) Highrange Setup.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Check out my other show, the Law for Kids Podcast.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Want to use the subscription model for your law firm? Sign up for the Subscription Seminar waitlist at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscriptionseminar.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

On May 20, 2025, I presented live on the topic of AI and Alternative Fee Arrangements at the American Bar Association's AI and Virtual Law Summit. Here are the top 5 takeaways:* AI is Transforming Legal Practice EfficiencyThe adoption of AI, especially generative AI, is revolutionizing how legal work is done. Lawyers who move away from the billable hour and embrace efficiency—using AI to complete tasks faster—can actually increase profitability, as less time spent on tasks means more money under alternative fee arrangements.* The Subscription Model is a Profitable Alternative to Billable HoursMoving to a subscription or flat-fee model provides predictable revenue for lawyers and cost transparency for clients. This model incentivizes efficiency, reduces burnout, and fosters better client relationships, as lawyers are no longer penalized for working quickly.* The Latent Legal Market is a Huge OpportunityA significant portion of legal needs in the U.S. (up to 90%) go unmet by lawyers, representing a massive, underserved market. Alternative fee structures and AI-powered efficiency can help lawyers tap into this “blue ocean” of potential clients who need affordable, predictable legal services.* Using AI Ethically and Effectively is CriticalLawyers must use AI tools correctly—choosing the right tool for the right task, understanding the importance of retrieval-augmented generation (RAG) for fact-based work, and being aware of data privacy and compliance issues. AI is a powerful assistant, but not a source of truth on its own.* Legal Practice is Evolving—Adapt or Be Left BehindThe legal industry is shifting toward technology-driven, client-centered models. Lawyers who embrace AI, alternative fee arrangements, and productized services will be better positioned for the future. The billable hour may eventually be seen as outdated or even unethical, so now is the time to adapt.__________________________Here's a link to the slide deck that goes with the presentation.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Here's a link to purchase lifetime access to the recordings of My Shingle's AI Teach-In if you couldn't make it live.I've partnered with Pii to make it easy for you to purchase the hardware I use in my law firm: (1) Studio Setup; (2) Midrange Setup; (3) Highrange Setup.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Check out my other show, the Law for Kids Podcast.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Want to use the subscription model for your law firm? Sign up for the Subscription Seminar waitlist at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscriptionseminar.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

- Apple Announces 3nm M5 Processor - No In-Box Wall Wart for New MacBook Pro in EU and UK - Apple Announces iPad Pro Powered by M5 - Apple Outs Black Magic Keyboard for iPad Air - M5 Apple Vision Pro Up for Order - M2 Vision Pro Not Eligible for Trade-In - Apple Announces Accessories for Vision Pro - Apple Vision Pro App Hits iPad with iPadOS 26.1 - NBA 2K26 Arcade Edition Hits Apple Arcade Today - US Mint Previews $1 California Innovation Coin Featuring Steve Jobs - The FBI says sites are spoofing the FBI. Plus - a medical imaging company loses patient PII with no compensation. It's all on Checklist No. 444 - Find it today at checklist.libsyn.com - Catch Ken on Mastodon - @macosken@mastodon.social - Send Ken an email: info@macosken.com - Chat with us on Patreon for as little as $1 a month. Support the show at Patreon.com/macosken

This episode continues the discussion with Oliver Eden, senior business unit director at Jabil, and Travis Webb, chief scientific officer at PII, as they dive into the nuance, challenges and opportunities of autoinjectors and combination drug delivery systems.In this conversation they focus on supporting decentralized clinical studies and how connected technology can improve patient compliance, trust and cleaner data processing.This episode is presented in partnership with ⁠PII⁠.Host⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Lori Ellis⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, Head of Insights, BioSpaceGuestsOliver Eden, Senior Business Unit Director, JabilTravis Webb, Chief Scientific Officer, PIIDisclaimer: The views expressed in this discussion by guests are their own and do not represent those of their organizations.

- Joz Teases New Laptop in Cryptic Twitter Post - Omdia: Q3 Global Growth for Smartphones up 3%, Strongest Q3 Growth Ever for iPhone - IDC: Q3 Global Growth for Smartphones up 2.6%, Strongest Q3 Growth Ever for iPhone - Tata Subsidiary Buys Its Way Further Into Apple's Business - Apple Seeds Third blankOS 26.1 Betas to Public Testers - Public Testers Get New AirPods Firmware Betas - Cue Talks State of Apple TV: The Subscription Service - Apple TV Outs Trailer for “The Family Plan 2” - Third Season of “Loot” Starts on Apple TV - The FBI says sites are spoofing the FBI. Plus - a medical imaging company loses patient PII with no compensation. It's all on Checklist No. 444 - Find it today at checklist.libsyn.com - Catch Ken on Mastodon - @macosken@mastodon.social - Send Ken an email: info@macosken.com - Chat with us on Patreon for as little as $1 a month. Support the show at Patreon.com/macosken

- Cook Says iPhone Air to Hit China Next Week - iPhone Air Ships in China on Wednesday 22 October - Carriers Get Special eSIM Permission for iPhone Air - Apple Seeds Third Betas of blankOS 26.1 to Developers - AppleInsider Lists New Features Found in iOS 26.1 Developer Beta - Apple Drops the + from Apple TV+ - F1: The Movie Hits Apple TV: The Streaming Service on 12 December - Apple Store in Carlsbad, CA Makes Temporary Move for Renovations - Apple Ends Sound Service Programs for iPhone 12 Models and Original AirPods Pro - AirPods Pro 3 Make TIME's Best Inventions of 2025 - Sponsored by CleanMyMac - Now with Cloud Cleanup. Try 7 days free and use code MACOSKEN20 for 20% off at clnmy.com/MACOSKEN - The FBI says sites are spoofing the FBI. Plus - a medical imaging company loses patient PII with no compensation. It's all on Checklist No. 444 - Find it today at checklist.libsyn.com - Catch Ken on Mastodon - @macosken@mastodon.social - Send Ken an email: info@macosken.com - Chat with us on Patreon for as little as $1 a month. Support the show at Patreon.com/macosken

In this episode of Generation AI, hosts Ardis Kadiu and Petar Djordjevic take you inside OpenAI's third annual Dev Day in San Francisco, breaking down the major announcements that are reshaping how we interact with AI. With ChatGPT now reaching 800 million weekly active users, OpenAI is positioning itself as the operating system of the future. Ardis and Petar, who attended the event in person, discuss three major announcement categories: Apps (native applications running directly in ChatGPT with deep integration), Agent Kit (a visual agent builder with built-in evaluation systems), and new models including GPT-5 Pro, Sora 2 video generation, and cheaper image options. They explore what these changes mean for developers, product builders, and higher education professionals, while sharing their first-hand observations from being in the room with 1,500 developers and AI industry leaders. This episode is essential listening for anyone trying to understand where AI platforms are headed and how to prepare for a future where ChatGPT becomes the hub for all your digital work.Dev Day Experience: San Francisco and the AI Ecosystem (00:00:36)First-time experience attending OpenAI Dev Day in San Francisco with 1,500 attendeesThe unique culture of San Francisco's tech scene and AI billboards everywhereMeeting AI influencers, builders from major companies like Netflix, Facebook, MicrosoftComparing Element451's AI work against world-class builders and feeling competitiveThe optimism and grind culture among new builders and startup foundersThe Three Big Announcement Categories (00:06:32)OpenAI's strategic shift: positioning ChatGPT as an operating systemThree main categories: Apps, Agents, and new ModelsChatGPT reaching 800 million weekly active users (not monthly - weekly)Processing billions of tokens daily across the platformApps in ChatGPT: The Third Try at an App Ecosystem (00:10:05)Native applications running directly in ChatGPT with deep integrationEvolution from plugins (first attempt) to custom GPTs (second attempt) to Apps SDK (third attempt)Launch partners: Canva, Booking.com, Expedia, Figma, Spotify, Khan Academy, Instacart, Uber, TripAdvisorApps can share context with ChatGPT and return custom UI componentsDemo showing Coursera courses, Canva slide creation, and Zillow apartment search all within ChatGPTApps SDK will be available to all developers by end of yearThe Distribution Flywheel and Vendor Lock-in (00:14:53)800 million users creates massive distribution leverage for app makersThe more users work inside ChatGPT, the more context gets centralizedThis strengthens personalization but also increases switching costsChatGPT becoming your memory and general assistantDiscussion of potential for ads and payment systems within ChatGPTUsers becoming more sticky to ChatGPT than to individual app websitesAgent Kit: Visual Agent Builder with Native Evals (00:18:38)Visual agent builder for orchestrating multi-agent workflowsChat Kit for embedding chat interfaces into applicationsNative evaluation system built directly into the platformLive demo: building a full agent for Dev Day conference in 8 minutes on stagePre-built guardrails for PII data and harmful contentConnections to file search, web search, and external systems via MCP protocolSimilar to tools like Zapier, Make.com, and n8n but with embeddable chat widgetsHow OpenAI Uses AI Internally (00:23:44)OpenAI shared three internal use cases at a breakout sessionGo-to-market agent: researches customers before meetings, preps demos, closes the loop after meetingsSupport agent: handles customer inquiries at scale (not outsourced, built in-house)When ChatGPT image generation launched, they got 10 million new users in a dayBuilt-in evals allow systems to improve themselves over time using thumbs up/down feedbackEvals and Prompt Optimization: The Game Changer (00:25:23)Evals explained: non-deterministic outputs require grading systemsEvolution from human graders to LLM gradersOpenAI introducing prompt optimization using the GEPA algorithm (Genetic Pareto)System uses all your data and feedback to automatically improve promptsConnection to DSPY library and the movement toward automated prompt engineeringNot locking users into OpenAI models - can use any model and send traces to the systemComparison with LangSmith and other tracing toolsNew Models: GPT-5 Pro, Sora 2, and Image Mini (00:33:20)GPT-5 Pro now available via API (12x more expensive than standard ChatGPT)Takes minimum 15 minutes per task due to deep reasoning capabilitiesSora 2 and Sora 2 Pro for video generation now in APISora app showing amazing video generation capabilitiesDemo with UK animation studio showing year-long process compressed to minutesGPT Image 1 Mini: 80% cheaper for cost-sensitive, high-frequency tasksEnables personalized images at scale for hundreds of thousands of usersTwo-tier Sora workflow: use smaller model to nail the prompt, then Pro for high fidelityReal-Time Voice Models and Device Strategy (00:40:38)GPT Real-Time Mini Voice: 70% cheaper with improved qualityDiscussion about voice quality expectations and production use casesSpeculation about OpenAI's strategy to get models small enough for on-device deploymentThe importance of voice as a natural interface for future applicationsConcerns about whether cheaper models sacrifice too much qualityCommunity Reactions and the Agent Debate (00:43:26)Mixed reactions to Agent Kit announcementsTwo camps: those excited about workflow builders vs. those disappointed it's "old paradigm"Debate about what defines an "agent" - no consensus in the industryComparison with Claude Code's different approach: treating LLM as autonomous humanDiscussion of workflow builders vs. true autonomous agentsWhat This Means for Startups and Builders (00:47:40)Advice: still build in code, don't rely entirely on Agent Kit for productionAgent Kit good for proof of concept and quick distributionWill take at least a year for App Store to catch fire with normal usersOpportunity to be early in the ChatGPT App ecosystemImportance of building expertise with OpenAI's tooling and platformThe Everything App and Multi-Platform Future (00:50:30)ChatGPT positioning as the "Everything App" and operating system of the futureGoogle announces Gemini Enterprise with similar agent builder capabilitiesQ4 2025 prediction: proliferation of agent builders across platformsElement451's approach: building agents that build agents using conversational interfaceEvolution from visual workflow canvas to AI-driven job creationProactive AI that evaluates context and takes actions without predefined stepsFinal Thoughts: The OpenAI Ecosystem (00:54:13)OpenAI as one of the most advanced AI labs with 4 million developers on platformChatGPT as dominant chat assistant with massive ecosystem impactKey takeaways from being there in person and seeing the builder communityHow these announcements will shape the future of work and higher education - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too! Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

- Bloomberg's Gurman Expects at Least Two Updated Apple Products This Week - AT&T Website May Confirm M5-Powered iPad Pro - Ming-Chi Kuo: Hinge May Cost Less Than Expected on iPhone Foldable - Sites See blankOS 26.0.2 in Visitor Logs - Report: Apple Close to Buying Computer Vision Startup Prompt AI - SUNY Professors Sue Apple for Using Their Writing to Train A.I. - Apple Original Films and Chernin to Develop “Five Secrets” Feature - “Knife Edge: Chasing Michelin Stars” Hits Apple TV+ - Apple TV+ Crashes Into “The Last Frontier”  - Apple Pulls “Clips” from App Store, Plans No More Updates - Sponsored by CleanMyMac - Now with Cloud Cleanup. Try 7 days free and use code MACOSKEN20 for 20% off at clnmy.com/MACOSKEN - The FBI says sites are spoofing the FBI. Plus - a medical imaging company loses patient PII with no compensation. It's all on Checklist No. 444 - Find it today at checklist.libsyn.com - Catch Ken on Mastodon - @macosken@mastodon.social - Send Ken an email: info@macosken.com - Chat with us on Patreon for as little as $1 a month. Support the show at Patreon.com/macosken

Here are the top 5 takeaways from this episode with Sateesh Nori of Just-Tech, LLC:* AI and Technology Are Transforming Legal ServicesThe legal profession is undergoing a major shift as AI tools like RAG bots (Retrieval Augmented Generation) and platforms such as Paxton are making legal information and services more accessible, efficient, and affordable. These technologies can help lawyers serve more clients at scale and reduce overhead.* The Billable Hour Model Is Outdated and RestrictiveThe traditional billable hour model limits access to justice, incentivizes inefficiency, and perpetuates a pyramid scheme within law firms. Alternative fee arrangements, especially subscription models, empower lawyers to focus on value and client outcomes rather than time spent.* Access to Justice Remains a Critical ChallengeA vast majority of Americans' legal needs go unmet each year due to high costs and systemic barriers. Technology and new business models can help bridge this gap, allowing lawyers to serve the “latent legal market” and provide affordable legal help to more people.* Legal Education and Professional Culture Need ReformLaw schools and the broader legal culture are slow to adapt to technological change and alternative business models. There's a need for legal education to teach technology, business skills, and new ways of delivering legal services, rather than focusing solely on traditional paths.* Actionable Legal Information vs. Legal AdviceThe line between legal information and legal advice is blurry and often protectionist. AI tools can provide actionable legal information at scale, but regulatory frameworks need to evolve to allow innovation while protecting consumers. Lawyers should embrace these tools to remain competitive and relevant.__________________________Learn more about Just-Tech, LLC.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Here's a link to purchase lifetime access to the recordings of My Shingle's AI Teach-In if you couldn't make it live.I've partnered with Pii to make it easy for you to purchase the hardware I use in my law firm: (1) Studio Setup; (2) Midrange Setup; (3) Highrange Setup.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Check out my other show, the Law for Kids Podcast.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Want to use the subscription model for your law firm? Sign up for the Subscription Seminar waitlist at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscriptionseminar.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

Nick Constantino and Brian Jungles dive into the surprising resurgence of direct mail marketing. From data-driven targeting to fraud-free impressions, they unpack why this “unsexy” channel is outperforming digital in today's AI-saturated landscape. Learn how tactile media is reclaiming its place in full-funnel strategies and why marketers should rethink their approach to brand and lead generation.✅ Key Takeaways:• Direct mail offers 100% deliverability and high-value targeting using PII and layered data.• Digital ad fraud is rampant—up to 50% of traffic can be fake or wasted.• Direct mail impressions are tactile, memorable, and often live in homes for weeks.• Integrated campaigns (mail + digital + CTV + retargeting) outperform siloed efforts.• Unique offers and strong creative are essential—don't reuse billboard/web ads.• Measurement tools like QR codes, call tracking, and A/B testing are now standard.• Success requires repetition—one-off mailers don't work.

Download Perplexity Comet: AI-native Browser; Web Adoption and Security Talk with Favour Obasi-Ike | Get exclusive SEO newsletters in your inbox.Perplexity AI's free "Comet" web browser, which occurred this past Thursday. We expressed excitement over this development, highlighting Comet's functionality as an AI-powered browser that can import Google Chrome extensions and act as a personal assistant, shopping, and email agent. The conversation extensively examines the implications of Comet's introduction on the browser market share, particularly in relation to the dominance of Google Chrome, and explores how this new tool affects Search Engine Optimization (SEO) strategies and content visibility for businesses. Finally, a significant portion of the discussion addresses crucial concerns regarding user privacy and data security when utilizing these advanced AI tools, emphasizing the need for caution and strategic use.Next Steps for Digital Marketing + SEO Services:>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Need SEO Services? Book a Complimentary SEO Discovery Call with Favour Obasi-Ike⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Need more information? Visit our Work and PLAY Entertainment website to learn about our digital marketing services.>> Visit our Official website for the best digital marketing, SEO, and AI strategies today!FAQs about this episode1. What is the Perplexity AI Comet Browser?Comet is an AI web browser released by Perplexity AI. Comet essentially integrates Perplexity AI capabilities into a browser format. The concept involves having an AI web browser, similar to using Google Chrome but with AI integration.2. When was the Comet browser released, and to whom?The free Comet browser was recently made available to everyone worldwide. It was announced on a Thursday. However, Comet was initially released to people who had Perplexity Max in July. This three-month period (July to October) allowed Perplexity to keep it exclusive within their beta program or exclusive community before releasing it universally.3. How can I download the Comet browser, and what platforms is it available on?You can download the Comet browser by visiting perplexity.ai/comment. It is available for both Mac and Windows.4. What are the key features and capabilities of the Comet browser?The Comet browser offers several features that distinguish it from traditional browsers:• Extension Import: You can import your Google Chrome extensions into the Comet AI browser.• Agentic Capabilities: It is described as a personal assistant that helps with many things. It can: ◦ Autonomously control browser actions, such as closing tabs and opening pages. ◦ Fill out forms. ◦ Control Google Drive. ◦ Shop for you. ◦ Send out emails, leveraging a feature called "background assistant".• Current Focus: It is currently heavily focused on the web, though a mobile app is anticipated, similar to the existing Google Chrome app and Perplexity app.5. Why did Perplexity AI release the Comet browser?Perplexity is doing this to gain market share and compete with major rivals, particularly Google. The current browser market is heavily dominated by Google Chrome, which holds about 72% of the market share (specifically cited as 71.77% to 71.86% recently).6. How is Perplexity AI related to Microsoft and other platforms?Perplexity is closely associated with Microsoft and Bing. The platforms are interconnected, as LinkedIn is also owned by Microsoft. It is noted that Microsoft is also involved with Copilot and is "somewhere in the mix" of OpenAI/ChatGPT content, further connecting it to Comet.7. What are the major concerns regarding security and privacy with agentic AI browsers?The primary concerns revolve around security, privacy, and user adoption. Since the Comet browser can autonomously control browser actions, access Google Drive, and fill out forms, there are questions about how much security is provided.• Data Compromise: One critical concern is that if a company's chosen AI platform (like Comet) lacks necessary security measures, a client could be exposed to a hack, potentially compromising years of hard work.• Lack of Regulation: There is a belief that there is not enough regulation surrounding privacy in the AI space, often favoring convenience and productivity over individual privacy.8. How will AI search browsers impact SEO and business visibility?AI search models are changing how businesses achieve visibility:• Beyond Top 10: AI models are no longer just scanning the top 10 search pages; they are scanning anywhere between 10 to 40 links or sources. Businesses should aim to be in this "Top 40 listing".• Platform Diversity: Visibility is achieved when a brand is interconnected across various platforms, including LinkedIn, YouTube, Google, Pinterest, the website, blogs, videos, audios, and podcasts.• LinkedIn Importance: If Perplexity uses LinkedIn as one of its information sources, having a complete and active LinkedIn profile is significant for search results.• Contextual Content: Content needs to be contextually relevant, moving beyond just typing basic search phrases like "best restaurant near me".• SEO Relevance: SEO remains important; even if AI models like ChatGPT handle e-commerce orders, they are still pulling information from sources with high domain authority, which is based on SEO principles.9. What are the best practices for leveraging AI tools like Comet?Users should adopt a strategic approach when using these new AI tools:• Strategy and Learning: Use AI to strategize, discover different angles, and find solutions to problems you haven't considered. Ask AI how to improve upon an idea or find what is missing from your strategy.• Strategy vs. Dependence: Use AI as a tool to improve yourself and learn, but do not depend on it.• Privacy Protection: Exercise caution regarding privacy. Do not give out personal identifying information (PII) such as your specific address, phone number, or names of family members. Ask general questions instead of highly specific personal ones.• Prompt Awareness: Be aware that all prompts written into ChatGPT are typically indexed into Google unless you change your settings.Digital Marketing SEO Resources:>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our exclusive SEO Marketing community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Read SEO Articles>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Need SEO Services? Book a Complimentary SEO Discovery Call with Favour Obasi-Ike⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to the We Don't PLAY Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Here are the top 5 takeaways from this episode with Nicole Loughlin of Loughlin Law P.A.:* Ditching the Billable Hour for Predictable Fees: Nicole transitioned her estate planning and probate practice away from hourly billing to a hybrid model with flat fees and a sliding scale based on statutory guidelines. This approach provides clients with predictability, reduces billing disputes, and aligns incentives for efficiency.* Automation and Efficient Client Management: Nicole has heavily automated her law firm's intake, lead management, and client follow-up processes using tools like Kanban boards and practice management software (Lawcus). This ensures a consistent client experience, improves conversion rates, and keeps cases moving efficiently.* Customer Service as a Differentiator: Exceptional customer service is central to Nicole's practice. She offers proactive check-ins, regular follow-ups, and responsive communication, often surprising clients with the level of attention and support—much of which could be packaged as a subscription offering in the future.* Work-Life Integration and Flexibility: Nicole built her practice to accommodate her role as a mother, prioritizing flexibility and work-life integration. She challenges the traditional law firm model, demonstrating that it's possible to have a successful legal career while being present for family, and encourages others—especially women—to do the same.* Openness to Technology and Continuous Improvement: While Nicole has automated many aspects of her practice, she remains open to further streamlining, especially as new tools become available. She balances automation with personalized service, ensuring high-quality work product and client satisfaction, and sees room for future enhancements as her practice evolves.__________________________Learn more about Nicole Loughlin.Want to maximize your law firm? Get your ticket to MaxLawCon!Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Here's a link to purchase lifetime access to the recordings of My Shingle's AI Teach-In if you couldn't make it live.I've partnered with Pii to make it easy for you to purchase the hardware I use in my law firm: (1) Studio Setup; (2) Midrange Setup; (3) Highrange Setup.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Check out my other show, the Law for Kids Podcast.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Want to use the subscription model for your law firm? Sign up for the Subscription Seminar waitlist at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscriptionseminar.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

Clinical trials can present many challenges for patients–particularly injections.Oliver Eden, senior business unit director at Jabil, and Travis Webb, chief scientific officer at PII, discuss nuance, challenges and opportunities of autoinjectors and combination drug delivery systems.Additionally, they advocate that drug delivery systems enter the conversation earlier in clinical development stages given interdependencies. This episode is presented in partnership with PII.Host⁠⁠⁠⁠⁠⁠⁠⁠⁠Lori Ellis⁠⁠⁠⁠⁠⁠⁠⁠⁠, Head of Insights, BioSpaceGuestsOliver Eden, Senior Business Unit Director, JabilTravis Webb, Chief Scientific Officer, PIIDisclaimer: The views expressed in this discussion by guests are their own and do not represent those of their organizations.

“Our approach is simple: remove the PII from the data stream, and you don't have to worry about compliance,” said Bill Placke, President, Americas at SecurePII. At WebexOne in San Diego, Doug Green, Publisher of Technology Reseller News, spoke with Jason Thals, COO of BroadSource, and Placke of SecurePII about their finalist recognition in Cisco's Dynamic Duo competition. The joint solution, built on Cisco Webex Contact Center, is designed to unlock AI's potential by enabling enterprises to leverage large language models without exposing sensitive personal data. SecurePII's flagship product, SecureCall, was purpose-built for Webex (and also available on Genesys) to deliver PCI compliance while removing personally identifiable information from voice interactions. This enables organizations to deploy AI and agentic automation confidently, without the regulatory risk tied to data privacy laws across the U.S., GDPR, and beyond. Thals emphasized BroadSource's role in delivering services that complement CCaaS and UCaaS platforms globally, while Placke framed the opportunity for Cisco partners: “This is a super easy bolt-on, available in the Webex App Hub. Customers can be up and running in 30 minutes and compliant.” The collaboration, already proven with a government-regulated client in Australia, is industry-agnostic and scalable from small deployments to 50,000+ users. For Cisco resellers, it represents a powerful, sticky service that integrates seamlessly into channel models while helping enterprises stay compliant as they modernize customer engagement. Learn more at BroadSource and SecurePII.

In this episode, we talk about practical guardrails for LLMs with data scientist Nicholas Brathwaite. We focus on how to stop PII leaks, retrieve data, and evaluate safety with real limits. We weigh managed solutions like AWS Bedrock against open-source approaches and discuss when to skip LLMs altogether.• Why guardrails matter for PII, secrets, and access control• Where to place controls across prompt, training, and output• Prompt injection, jailbreaks, and adversarial handling• RAG design with vector DB separation and permissions• Evaluation methods, risk scoring, and cost trade-offs• AWS Bedrock guardrails vs open-source customization• Domain-adapted safety models and policy matching• When deterministic systems beat LLM complexityThis episode is part of our "AI in Practice” series, where we invite guests to talk about the reality of their work in AI. From hands-on development to scientific research, be sure to check out other episodes under this heading in our listings.Related research:Building trustworthy AI: Guardrail technologies and strategies (N. Brathwaite)Nic's GitHubWhat did you think? Let us know.Do you have a question or a discussion topic for the AI Fundamentalists? Connect with them to comment on your favorite topics: LinkedIn - Episode summaries, shares of cited articles, and more. YouTube - Was it something that we said? Good. Share your favorite quotes. Visit our page - see past episodes and submit your feedback! It continues to inspire future episodes.

CISA gives federal agencies 24 hours to patch a critical Cisco firewall bug. Researchers uncover the first known malicious MCP server used in a supply chain attack. The New York SIM card threat may have been overblown. Microsoft tags a new variant of the XCSSET macOS malware. An exposed auto insurance claims database puts PII at risk. Amazon will pay $2.5 billion to settle dark pattern allegations. Researchers uncover North Korea's hybrid playbook of cybercrime and insider threats. An old Hikvision security camera vulnerability rears its ugly head. Dan Trujillo from the Air Force Research Laboratory's Space Vehicles Directorate joins Maria Varmazis, host of T-Minus Space Daily to discuss how his team is securing satellites and space systems from cyber threats. DOGE delivers dysfunction, disarray, and disappointment. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn.CyberWire Guest Dan Trujillo from the Air Force Research Laboratory's Space Vehicles Directorate joins Maria Varmazis, host of T-Minus Space Daily to discuss how his team is securing satellites and space systems from cyber threats and also shares advice for breaking into the fast-growing field of space cybersecurity Selected Reading Federal agencies given one day to patch exploited Cisco firewall bugs (The Record) First malicious MCP Server discovered, stealing data from AI-Powered email systems (Beyond Machines) Secret Service faces backlash over SIM farm bust as experts challenge threat claims (Metacurity) Microsoft warns of new XCSSET macOS malware variant targeting Xcode devs (Bleeping Computer) Microsoft cuts off cloud services to Israeli military unit after report of storing Palestinians' phone calls (CNBC) Auto Insurance Platform Exposed Over 5 Million Records Including Documents Containing PII (Website Planet) Amazon pays $2.5 billion to settle Prime memberships lawsuit (Bleeping Computer) DeceptiveDevelopment: From primitive crypto theft to sophisticated AI-based deception (We Live Security) Critical 8 years old Hikvision Camera flaw actively exploited again (Beyond Machines) The Story of DOGE, as Told by Federal Workers (WIRED) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at cyberwire@n2k.com to request more info. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

Security leaders from CyberArk, Fortra, and Sysdig share actionable strategies for securely implementing generative AI and reveal real-world insights on data protection and agent management.Topics Include:Panel explores practical security approaches for GenAI from prototype to productionThree-phase framework discussed: planning, pre-production, and production security considerationsSecurity must be built-in from start - data foundation is criticalUnderstanding data location, usage, transformation, and regulatory requirements is essentialFortra's security conglomerate approach integrates with AWS native tools and partnersMachine data initially easier for compliance - no PII or HIPAA concernsIdentity paradigm shift: agents can dynamically take human and non-human roles97% of organizations using AI tools lack identity and access policiesSecurity responsibility increases as you move up the customization stackOWASP Top 10 for GenAI addresses prompt injection and data poisoningRigorous model testing including adversarial attacks before deployment is crucialSysdig spent 6-9 months stress testing their agent before production releaseTension exists between moving fast and implementing proper security controlsDifferent security approaches needed based on data sensitivity and model usageZero-standing privilege and intent-based policies critical for agent managementMulti-agent systems create "Internet of Agents" with exponentially multiplying risksDiscovery challenge: finding where GenAI is running across enterprise environmentsAPI security and gateway protection becoming critical with acceptable latencyTop customer need: translating written AI policies into actionable controlsThreat modeling should focus on impact rather than just vulnerability severityParticipants:Prashant Tyagi - Go-To-Market Identity Security Technology Strategy Lead, CyberArkMike Reed – Field CISO, Cloud Security & AI, FortraZaher Hulays – Vice President Strategic Partnerships, SysdigMatthew Girdharry - WW Leader for Observability & Security Partnerships, Amazon Web ServicesFurther Links:CyberArk: Website – LinkedIn – AWS MarketplaceFortra: Website – LinkedIn – AWS MarketplaceSysdig: Website – LinkedIn – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

On April 4, 2025, I presented live on the topic of the shifting paradigm of billable hour and serving new legal market opportunities. I presented alongside Clio's Lawyer in Resident, Joshua Lenon. Here are the top 5 takeaways:* AI Will Automate a Large Portion of Legal WorkUp to 75% of all hourly billable work in law firms is projected to be automatable by AI in the coming years. This shift is already underway, with rapid adoption of AI tools across firms of all sizes, especially in mid-sized and larger firms.* The Billable Hour Model Is Becoming ObsoleteAs AI drastically reduces the time required for many legal tasks, the traditional billable hour model is increasingly unsustainable. Flat fees, subscriptions, and value-based billing are emerging as more client-friendly and profitable alternatives, especially as clients become more aware of AI's capabilities.* The Latent Legal Market Is a Massive OpportunityThere is a huge unmet demand for legal services—estimated at over $1.3 trillion in the US alone. By leveraging AI and moving away from billable hours, lawyers can serve more clients, offer greater pricing certainty, and tap into this latent market.* Industry-Specific AI Tools and Data Security Are EssentialGeneric AI tools are not reliable sources of truth for legal work. Lawyers should prioritize industry-specific AI solutions that use retrieval augmented generation (RAG) and ensure privacy, security, and compliance (e.g., SOC 2, HIPAA). Using the right tools helps avoid ethical pitfalls and increases accuracy.* Client Expectations and Legal Practice Are EvolvingMost clients either prefer or are indifferent to their lawyers using AI, and younger generations are especially open to it. Lawyers must focus on delivering value, efficiency, and transparency. Adopting AI and new billing models not only meets client expectations but also positions firms for future success.__________________________Here's a link to the slide deck that goes with the presentation.Want to maximize your law firm? Get your ticket to MaxLawCon!Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Here's a link to purchase lifetime access to the recordings of My Shingle's AI Teach-In if you couldn't make it live.I've partnered with Pii to make it easy for you to purchase the hardware I use in my law firm: (1) Studio Setup; (2) Midrange Setup; (3) Highrange Setup.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Check out my other show, the Law for Kids Podcast.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Want to use the subscription model for your law firm? Sign up for the Subscription Seminar waitlist at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscriptionseminar.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

Here are the top 5 takeaways from this episode with Ray Allen of ContractsCounsel:* ContractsCounsel is Transforming Legal Services with a Marketplace Model:ContractsCounsel connects consumers, small businesses, and startups with lawyers through a competitive, flat-fee proposal system. The platform emphasizes transparency, defined scope of work, and easy communication, making legal services more accessible and predictable for clients.* Flat Fees and Productized Legal Services Reduce Disputes and Increase Satisfaction:The platform encourages lawyers to offer fixed-fee services, which helps clients understand costs upfront and reduces billing disputes. Data from ContractsCounsel shows that disputes are rare, especially with flat-fee arrangements, and user satisfaction is high (average rating 4.9/5).* Subscription and Instant Bid Features Enable Lawyers to Modernize Their Practice:ContractsCounsel offers tools like instant bids (pre-set proposals for common services) and subscription-based offerings (e.g., monthly legal chat access). These features help lawyers productize their services, save time, and create recurring revenue streams, while also providing clients with affordable, ongoing legal support.* The Legal Market Opportunity is Vast and Largely Untapped:A significant portion of legal needs in the U.S. go unmet due to traditional billing models and lack of transparency. By shifting to fixed fees and subscription models, lawyers can tap into a much larger market—potentially worth over a trillion dollars—by serving clients who previously avoided legal help due to cost uncertainty.* Legal Tech, AI, and Passive Income are Shaping the Future of Law:The role of AI tools, legal chatbots, and digital product marketplaces (like selling legal templates) in the legal industry is growing. Lawyers who embrace technology, automation, and new business models (such as selling templates or offering AI-powered information bots) will be better positioned to serve clients and generate passive income.__________________________Learn more about ContractsCounsel.Want to maximize your law firm? Get your ticket to MaxLawCon!Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Here's a link to purchase lifetime access to the recordings of My Shingle's AI Teach-In if you couldn't make it live.I've partnered with Pii to make it easy for you to purchase the hardware I use in my law firm: (1) Studio Setup; (2) Midrange Setup; (3) Highrange Setup.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Check out my other show, the Law for Kids Podcast.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Want to use the subscription model for your law firm? Sign up for the Subscription Seminar waitlist at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscriptionseminar.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

In the leadership and communications segment, Lack of board access: The No. 1 factor for CISO dissatisfaction, Pressure on CISOs to stay silent about security incidents growing, The Secret to Building a High-Performing Team, and more! Jackie McGuire sits down with Chuck Randolph, SVP of Strategic Intelligence & Security at 360 Privacy, for a gripping conversation about the evolution of executive protection in the digital age. With over 30 years of experience, Chuck shares how targeted violence has shifted from physical threats to online ideation—and why it now starts with a click. From PII abuse to unregulated data brokers, generative AI manipulation, and real-world convergence of cyber and physical risks—this is a must-watch for CISOs, CSOs, CEOs, and anyone navigating modern threat landscapes. Hear real-world examples, including shocking stories of doxxing, AI-fueled radicalization, and the hidden dangers of digital exhaust. Whether you're in cyber, physical security, or executive leadership, this interview lays out the urgent need for converged risk strategies, narrative control, and a new approach to duty of care in a remote-first world. Learn what every security leader needs to do now to protect key personnel, prevent exploitation, and build a unified, proactive risk posture. This segment is sponsored by 360 Privacy. Learn how to integrate privacy and protective intelligence to get ahead of the next threat vector at https://securityweekly.com/360privacybh! In this exclusive Black Hat 2025 interview, CyberRisk TV host Matt Alderman sits down with Tom Pore, AVP of Sales Engineering at Pentera, to dive into the rapidly evolving world of AI-driven cyberattacks. What's happening? Attackers are already using AI and LLMs to launch thousands of attacks per second—targeting modern web apps, exploiting PII, and bypassing traditional testing methods. Tom explains how automated AI payload generation, context-aware red teaming, and language/system-aware attack modeling are reshaping the security landscape. The twist? Pentera flips the script by empowering security teams to think like an attacker—using continuous, AI-powered penetration testing to uncover hidden risks before threat actors do. This includes finding hardcoded credentials, leveraging leaked identities, and pivoting across systems just like real adversaries. To learn more about Pentera's proactive Ransomware testing please visit: https://securityweekly.com/penterabh Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-413

In the leadership and communications segment, Lack of board access: The No. 1 factor for CISO dissatisfaction, Pressure on CISOs to stay silent about security incidents growing, The Secret to Building a High-Performing Team, and more! Jackie McGuire sits down with Chuck Randolph, SVP of Strategic Intelligence & Security at 360 Privacy, for a gripping conversation about the evolution of executive protection in the digital age. With over 30 years of experience, Chuck shares how targeted violence has shifted from physical threats to online ideation—and why it now starts with a click. From PII abuse to unregulated data brokers, generative AI manipulation, and real-world convergence of cyber and physical risks—this is a must-watch for CISOs, CSOs, CEOs, and anyone navigating modern threat landscapes. Hear real-world examples, including shocking stories of doxxing, AI-fueled radicalization, and the hidden dangers of digital exhaust. Whether you're in cyber, physical security, or executive leadership, this interview lays out the urgent need for converged risk strategies, narrative control, and a new approach to duty of care in a remote-first world. Learn what every security leader needs to do now to protect key personnel, prevent exploitation, and build a unified, proactive risk posture. This segment is sponsored by 360 Privacy. Learn how to integrate privacy and protective intelligence to get ahead of the next threat vector at https://securityweekly.com/360privacybh! In this exclusive Black Hat 2025 interview, CyberRisk TV host Matt Alderman sits down with Tom Pore, AVP of Sales Engineering at Pentera, to dive into the rapidly evolving world of AI-driven cyberattacks. What's happening? Attackers are already using AI and LLMs to launch thousands of attacks per second—targeting modern web apps, exploiting PII, and bypassing traditional testing methods. Tom explains how automated AI payload generation, context-aware red teaming, and language/system-aware attack modeling are reshaping the security landscape. The twist? Pentera flips the script by empowering security teams to think like an attacker—using continuous, AI-powered penetration testing to uncover hidden risks before threat actors do. This includes finding hardcoded credentials, leveraging leaked identities, and pivoting across systems just like real adversaries. To learn more about Pentera's proactive Ransomware testing please visit: https://securityweekly.com/penterabh Show Notes: https://securityweekly.com/bsw-413

NumberEight converts mobile sensor data into contextual audience segments without capturing PII, addressing the fundamental breakdown of cookie-based targeting as media consumption fragments across podcasts, gaming, and connected TV. What began as a thesis project for contextual SoundCloud recommendations has evolved into a B2B data platform serving podcast platforms, media sales houses, and agencies. In this episode of Category Visionaries, we sat down with Abhishek Sen to unpack how NumberEight navigates the complex adtech ecosystem and the tactical GTM strategies that drive their expansion across multiple customer segments simultaneously. Topics Discussed: How NumberEight evolved from a Netherlands thesis project (contextual SoundCloud recommendations) to solving adtech's identity crisis Technical architecture: converting mobile sensor data to contextual audience segments without PII collection Multi-segment GTM approach across podcast platforms (AdSwizz, Triton), media sales houses, and agencies Why the company targets podcasting and gaming simultaneously despite different data density challenges Conference strategy: 45+ targeted meetings per event while completely avoiding booths Building category credibility through IAB Tech Lab standards work and white paper contributions The breakdown of cookie-based targeting as consumption fragments beyond web browsers GTM Lessons For B2B Founders: Execute systematic conference preparation to maximize deal flow: Sen books 45+ targeted meetings across 4-day conferences like Cannes Lions through advance relationship mapping and mutual connection identification. The tactical framework: pre-research each prospect's annual priorities, identify shared connections for warm introductions, and plan specific value propositions for each conversation. Execute daily follow-up during the conference to prevent pipeline degradation. Sen's insight: "Prep is incredibly important... we evaluate okay, Brett, head of monetization at ABC Company. Who does Brett know that I know? What is the actual proposition we want to discuss?" Avoid booth competition when capital-constrained: NumberEight deliberately avoids exhibition booths at major conferences, recognizing the futility of competing against Amazon's "entire city mockups" and Google's massive displays. Instead, they focus on authentic relationship building through targeted meetings and dinner sponsorships. The strategic principle: startups should leverage their authenticity advantage rather than attempting to out-spend established players in awareness channels where they're fundamentally disadvantaged. Maintain strict messaging separation between investor and customer tracks: Sen emphasizes the critical disconnect between vision-focused investor pitches and problem-focused customer conversations. His customer insight: "You tell any customer you're going to revolutionize... they're like 'man, you make me money, I'll be your friend.'" The implementation: develop completely separate messaging frameworks where investor decks emphasize market transformation while customer presentations focus exclusively on measurable business impact and revenue generation. Build category authority through standards body participation: NumberEight invests significant engineering resources in IAB Tech Lab white papers and industry standards development without direct revenue impact. This work establishes credibility when defining new data categories in established industries. Sen's co-founder leads technical working groups on identity-less targeting standards. The strategic value: "If you're trying to change the game, you have to be seen as someone giving back to the ecosystem and that helps drive your credibility." Time market entry around regulatory and consumption pattern shifts: NumberEight's positioning leverages two simultaneous disruptions: privacy regulation breakdown of cookie-based targeting and consumption fragmentation beyond web browsers. Sen identifies the core market inefficiency: "Consumption has moved beyond the web... but the data companies, in terms of how data is actually collected, hasn't changed. There's a mismatch." Founders should identify regulatory or technological shifts that create incumbent solution inadequacy and time market entry accordingly. Focus on vertical-specific events over broad industry conferences: NumberEight exclusively attends podcasting-focused (specific platforms), gaming-focused, or adtech-specific conferences rather than generalist marketing events. Sen explains: "We don't attend any conferences that are generalistic... The ones we attend are very focused on either podcasting or gaming or adtech focused ones. That's where we get the most bang for buck." This concentration strategy yields higher prospect quality and more productive pipeline development than broad industry networking.   //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.  www.GlobalTalent.co   //   Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM   

In the leadership and communications segment, Lack of board access: The No. 1 factor for CISO dissatisfaction, Pressure on CISOs to stay silent about security incidents growing, The Secret to Building a High-Performing Team, and more! Jackie McGuire sits down with Chuck Randolph, SVP of Strategic Intelligence & Security at 360 Privacy, for a gripping conversation about the evolution of executive protection in the digital age. With over 30 years of experience, Chuck shares how targeted violence has shifted from physical threats to online ideation—and why it now starts with a click. From PII abuse to unregulated data brokers, generative AI manipulation, and real-world convergence of cyber and physical risks—this is a must-watch for CISOs, CSOs, CEOs, and anyone navigating modern threat landscapes. Hear real-world examples, including shocking stories of doxxing, AI-fueled radicalization, and the hidden dangers of digital exhaust. Whether you're in cyber, physical security, or executive leadership, this interview lays out the urgent need for converged risk strategies, narrative control, and a new approach to duty of care in a remote-first world. Learn what every security leader needs to do now to protect key personnel, prevent exploitation, and build a unified, proactive risk posture. This segment is sponsored by 360 Privacy. Learn how to integrate privacy and protective intelligence to get ahead of the next threat vector at https://securityweekly.com/360privacybh! In this exclusive Black Hat 2025 interview, CyberRisk TV host Matt Alderman sits down with Tom Pore, AVP of Sales Engineering at Pentera, to dive into the rapidly evolving world of AI-driven cyberattacks. What's happening? Attackers are already using AI and LLMs to launch thousands of attacks per second—targeting modern web apps, exploiting PII, and bypassing traditional testing methods. Tom explains how automated AI payload generation, context-aware red teaming, and language/system-aware attack modeling are reshaping the security landscape. The twist? Pentera flips the script by empowering security teams to think like an attacker—using continuous, AI-powered penetration testing to uncover hidden risks before threat actors do. This includes finding hardcoded credentials, leveraging leaked identities, and pivoting across systems just like real adversaries. To learn more about Pentera's proactive Ransomware testing please visit: https://securityweekly.com/penterabh Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-413

In the leadership and communications segment, Lack of board access: The No. 1 factor for CISO dissatisfaction, Pressure on CISOs to stay silent about security incidents growing, The Secret to Building a High-Performing Team, and more! Jackie McGuire sits down with Chuck Randolph, SVP of Strategic Intelligence & Security at 360 Privacy, for a gripping conversation about the evolution of executive protection in the digital age. With over 30 years of experience, Chuck shares how targeted violence has shifted from physical threats to online ideation—and why it now starts with a click. From PII abuse to unregulated data brokers, generative AI manipulation, and real-world convergence of cyber and physical risks—this is a must-watch for CISOs, CSOs, CEOs, and anyone navigating modern threat landscapes. Hear real-world examples, including shocking stories of doxxing, AI-fueled radicalization, and the hidden dangers of digital exhaust. Whether you're in cyber, physical security, or executive leadership, this interview lays out the urgent need for converged risk strategies, narrative control, and a new approach to duty of care in a remote-first world. Learn what every security leader needs to do now to protect key personnel, prevent exploitation, and build a unified, proactive risk posture. This segment is sponsored by 360 Privacy. Learn how to integrate privacy and protective intelligence to get ahead of the next threat vector at https://securityweekly.com/360privacybh! In this exclusive Black Hat 2025 interview, CyberRisk TV host Matt Alderman sits down with Tom Pore, AVP of Sales Engineering at Pentera, to dive into the rapidly evolving world of AI-driven cyberattacks. What's happening? Attackers are already using AI and LLMs to launch thousands of attacks per second—targeting modern web apps, exploiting PII, and bypassing traditional testing methods. Tom explains how automated AI payload generation, context-aware red teaming, and language/system-aware attack modeling are reshaping the security landscape. The twist? Pentera flips the script by empowering security teams to think like an attacker—using continuous, AI-powered penetration testing to uncover hidden risks before threat actors do. This includes finding hardcoded credentials, leveraging leaked identities, and pivoting across systems just like real adversaries. To learn more about Pentera's proactive Ransomware testing please visit: https://securityweekly.com/penterabh Show Notes: https://securityweekly.com/bsw-413

Top 5 Takeaways from my interview with Mike Payne of Boss Advisors:1. Embracing Alternative Business Structures (ABS):Mike Payne was an early adopter of Arizona's Alternative Business Structure for law firms, allowing him to merge his law and accounting practices. This move reduced administrative burdens, enabled non-lawyer ownership, and positioned his firm as a pioneer, paving the way for larger firms to follow.2. Subscription and Flat Fee Model Over Hourly Billing:Mike's firm operates almost entirely on flat fees or subscriptions, avoiding hourly billing. He started by spreading tax prep fees over 12 months and added value through consulting, eventually formalizing subscription offerings across five practice areas, including legal services.3. Client-Centric, Tiered Service Packages:Instead of letting clients choose from generic service tiers, Mike's firm categorizes clients based on their business profile (e.g., investor, startup, owner-operator, enterprise) and recommends the appropriate package. This approach streamlines pricing, reduces custom quotes, and ensures clients get what they need.4. Data-Driven, Transparent Pricing:Mike uses a detailed, analytical process to set fixed fees—calculating internal costs, adding a target profit margin, and comparing to market rates. If a service isn't profitable or competitive, he won't offer it. This transparency extends to publishing pricing and typical client profiles on his website.5. Leveraging Technology and Remote Work:Mike prioritizes cloud-based, integrated tech tools for both legal and accounting work, enabling a hybrid and remote team. He's open to AI and automation for efficiency but is cautious about client data security. Tools like WealthCounsel, Clio Grow, Carbon, and Ignition are central to his operations.__________________________Learn more about BOSS Advisors.Want to maximize your law firm? Get your ticket to MaxLawCon!Here's a link to purchase lifetime access to the recordings of My Shingle's AI Teach-In if you couldn't make it live.I've partnered with Pii to make it easy for you to purchase the hardware I use in my law firm: (1) Studio Setup; (2) Midrange Setup; (3) Highrange Setup.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Check out my other show, the Law for Kids Podcast.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Want to use the subscription model for your law firm? Sign up for the Subscription Seminar waitlist at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscriptionseminar.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

Patrick (Tracer Labs) breaks down Trust ID, a consent + identity layer that replaces cookie pop-ups with a portable, user-owned identity (and embedded wallet). We dig into how Tracer helps brands unify siloed data without storing PII, verify real humans amid AI traffic, and enable one-click privacy that travels site-to-site.Timestamps[00:00] AI = most traffic; attribution is broken [00:01] Intro — Patrick, Tracer Labs & Trust ID [00:02] Patrick's crypto origin story & prior ventures [00:05] The problem: siloed brand data + compliance burden [00:06] What Trust ID does: consent + identity + embedded wallet [00:07] One-click wedge: spin up wallet, tokenize consent, no more cookies [00:09] Brands get real humans, no PII; users keep privacy & control [00:12] GDPR/CCPA costs; why a new US standard is needed[00:15] AI search & bot traffic: restoring pre-intent signal[00:18] Federated identity, modular plug-in, keep existing auth[00:19] Agentic “child IDs” w/ wallets & rule sets (Q1 roadmap)[00:20] KYC/KYB as commoditized credentials that travel with you [00:22] Live MVP; replacing legacy consent managers; early clients [00:24] Who's adopting: cards, casinos, banks, travel; multi-brand SSO [00:25] Unifying loyalty & rewards across properties [00:26] Founder advice: talk to customers on day one [00:31] Digital identity misconceptions; why this time is different [00:33] Abstraction for users; less friction, fewer decisions[00:36] Vision: 0.5–1B users; cut spam; programmatic commerce [00:38] The ask: hiring devs; enterprise intros; $15M seed openConnecthttps://www.tracerlabs.com/https://www.linkedin.com/company/tracerlabs/https://www.linkedin.com/in/patrickmoynihan1/DisclaimerNothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Be a guest on the podcast or contact us - https://www.web3pod.xyz/

On May 4, 2025, I presented live on the topic of Emerging Technological Trends in the Workplace to the American Academy of Matrimonial Lawyers, Northern California Chapter Symposium. Here are the top 5 takeaways:* Generative AI is Transforming Legal Practice—But Must Be Used Correctly* Generative AI (GenAI) tools like ChatGPT are revolutionizing legal work by enabling rapid drafting, research, and iteration. However, lawyers must use legal-specific AI tools that leverage retrieval augmented generation (RAG) and reliable databases, not general-purpose tools, to avoid errors and ethical pitfalls.* The Billable Hour Model is Becoming Obsolete* The efficiency gains from AI make the traditional billable hour model unsustainable and potentially unethical. Lawyers are encouraged to adopt alternative fee structures, especially subscription models, which align incentives, increase access to justice, and provide predictable revenue for firms.* There is a Massive Untapped Legal Market* 77% of U.S. legal issues go unresolved by lawyers, representing a $1.3 trillion market opportunity. By leveraging technology and alternative pricing, lawyers can serve clients previously priced out of legal services, expanding their reach and impact.* Ethical and Practical Imperatives for AI Adoption* Not using AI, or using it incorrectly, can put a lawyer's license and reputation at risk. Rules of professional conduct increasingly require technological competence. Lawyers must be proactive in adopting, understanding, and ethically integrating AI into their practice.* Subscription and Alternative Fee Models Benefit Both Lawyers and Clients* Subscription models foster ongoing client relationships, reduce burnout, and reward efficiency. They provide clients with cost transparency and predictability, while allowing lawyers to scale their practices, serve more clients, and improve profitability.__________________________Here's a link to the slide deck that goes with the presentation.Want to maximize your law firm? Get your ticket to MaxLawCon!Here's a link to purchase lifetime access to the recordings of My Shingle's AI Teach-In for only $77 if you couldn't make it live.I've partnered with Pii to make it easy for you to purchase the hardware I use in my law firm: (1) Studio Setup; (2) Midrange Setup; (3) Highrange Setup.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Check out my other show, the Law for Kids Podcast.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Want to use the subscription model for your law firm? Sign up for the Subscription Seminar waitlist at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscriptionseminar.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lawsubscribed.com/subscribe

Mark Stiving came back to Law Subscribed for a second time to go deep on the complexities and strategies of pricing in business, with a particular emphasis on how companies can better understand and communicate value to their customers. Stiving explores the importance of value-based pricing, the challenges organizations face when shifting away from cost-plus models, and practical steps for implementing more effective pricing strategies. He shares insights into the psychological aspects of pricing, the role of sales teams in conveying value, and the impact of pricing decisions on overall business success.Stiving brings a wealth of expertise as a pricing educator, author, and consultant. He shares real-world examples from his extensive experience, offering actionable advice for both seasoned professionals and those new to pricing. Stiving's engaging approach demystifies complex pricing concepts, making them accessible and relevant. Throughout the conversation, he emphasizes the need for continuous learning and adaptation in pricing, encouraging businesses to focus on customer perceptions of value to drive growth and profitability.__________________________Want to maximize your law firm? Get your ticket to MaxLawCon!Here's a link to purchase lifetime access to the recordings of My Shingle's AI Teach-In for only $77 if you couldn't make it live.I've partnered with Pii to make it easy for you to purchase the hardware I use in my law firm: (1) Studio Setup; (2) Midrange Setup; (3) Highrange Setup.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Check out my other show, the Law for Kids Podcast.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Want to use the subscription model for your law firm? Sign up for the Subscription Seminar waitlist at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscriptionseminar.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

Welcome back to Guardians of M365 Governance!

I intended to interview Tyson Mutrux from Maximum Lawyer about MaxLawCon but got sidetracked talking about technology!Mutrux discusses the evolution of legal podcasting, the importance of high-quality content, and the impact of technology—especially AI—on the legal profession. He reflects on the early days in podcasting, sharing stories about improving audio and video quality, and how valuable content can keep listeners engaged even when production isn't perfect. He explores the significance of staying current, listening to the audience, and being well-prepared for interviews, as well as the crossover skills between litigation and podcasting, such as active listening and curiosity. Mutrux explores the idea of law firm branding, the pros and cons of using personal names versus trade names, and the value of niche marketing. Mutrux shares insights on domain collecting, the challenges of legal tech integration, and the future of AI in legal research and practice management. He highlights the upcoming MaxLawCon conference, emphasizing its collaborative, non-salesy atmosphere and the practical, practitioner-focused sessions. The episode closes with advice for law students and attorneys on leveraging AI tools, the importance of continuous learning, and how to connect with the hosts and their communities.__________________________Get your ticket to MaxLawCon!I've partnered with Pii to make it easy for you to purchase the hardware I use in my law firm: (1) Studio Setup; (2) Midrange Setup; (3) Highrange Setup.Here's a link to purchase lifetime access to the recordings of My Shingle's AI Teach-In for only $77 if you couldn't make it live.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Check out my other show, the Law for Kids Podcast.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Want to use the subscription model for your law firm? Sign up for the Subscription Seminar waitlist at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscriptionseminar.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

Nonprofits, your “10 blue links” era is over. In this episode, Avinash Kaushik (Human-Made Machine; Occam's Razor) breaks down Answer Engine Optimization—why LLMs now decide who gets seen, why third-party chatter outweighs your own site, and what to do about it. We get tactical: build AI-resistant content (genuine novelty + depth), go multimodal (text, video, audio), and stamp everything with real attribution so bots can't regurgitate you into sludge. We also cover measurement that isn't delusional—group your AEO referrals, expect fewer visits but higher intent, and stop worshiping last-click and vanity metrics. Avinash updates the 10/90 rule for the AI age (invest in people, plus “synthetic interns”), and torpedoes linear funnels in favor of See-Think-Do-Care anchored in intent. If you want a blunt, practical playbook for staying visible—and actually converting—when answers beat searches, this is it. About Avinash Avinash Kaushik is a leading voice in marketing analytics—the author of Web Analytics: An Hour a Day and Web Analytics 2.0, publisher of the Marketing Analytics Intersect newsletter, and longtime writer of the Occam's Razor blog. He leads strategy at Human Made Machine, advises Tapestry on brand strategy/marketing transformation, and previously served as Google's Digital Marketing Evangelist. Uniquely, he donates 100% of his book royalties and paid newsletter revenue to charity (civil rights, early childhood education, UN OCHA; previously Smile Train and Doctors Without Borders). He also co-founded Market Motive. Resource Links Avinash Kaushik — Occam's Razor (site/home) Occam's Razor by Avinash Kaushik Marketing Analytics Intersect (newsletter sign-up) Occam's Razor by Avinash Kaushik AEO series starter: “AI Age Marketing: Bye SEO, Hello AEO!” Occam's Razor by Avinash Kaushik See-Think-Do-Care (framework explainer) Occam's Razor by Avinash Kaushik Books: Web Analytics: An Hour a Day | Web Analytics 2.0 (author pages) Occam's Razor by Avinash Kaushik+1 Human Made Machine (creative pre-testing) — Home | About | Products humanmademachine.com+2humanmademachine.com+2 Tapestry (Coach, Kate Spade) (company site) Tapestry Tools mentioned (AEO measurement): Trakkr (AI visibility / prompts / sentiment) Trakkr Evertune (AI Brand Index & monitoring) evertune.ai GA4 how-tos (for your AEO channel + attribution): Custom Channel Groups (create an “AEO” channel) Google Help Attribution Paths report (multi-touch view) Google Help Nonprofit vetting (Avinash's donation diligence): Charity Navigator (ratings) Charity Navigator Google for Nonprofits — Gemini & NotebookLM (AI access) Announcement / overview | Workspace AI for nonprofits blog.googleGoogle Help Example NGO Avinash supports: EMERGENCY (Italy) EMERGENCY Transcript Avinash Kaushik: [00:00:00] So traffic's gonna go down. So if you're a business, you're a nonprofit, how. Do you deal with the fact that you're gonna lose a lot of traffic that you get from a search engine? Today, when all of humanity moves to the answer Engine W world, only about two or 3% of the people are doing it. It's growing very rapidly. Um, and so the art of answer engine optimization is making sure that we are building for these LMS and not getting stuck with only solving for Google with the old SEO techniques. Some of them still work, but you need to learn a lot of new stuff because on average, organic traffic will drop between 16 to 64% negative and paid search traffic will drop between five to 30% negative. And that is a huge challenge. And the reason you should start with AEO now ​ George Weiner: [00:01:00] This week's guest, Avinash Kaushik is an absolute hero of mine because of his amazing, uh, work in the field of web analytics. And also, more importantly, I'd say education. Avinash Kaushik, , digital marketing evangelist at Google for Google Analytics. He spent 16 years there. He basically is. In the room where it happened, when the underlying ability to understand what's going on on our websites was was created. More importantly, I think for me, you know, he joined us on episode 45 back in 2016, and he still is, I believe, on the cutting edge of what's about to happen with AEO and the death of SEO. I wanna unpack that 'cause we kind of fly through terms [00:02:00] before we get into this podcast interview AEO. Answer engine optimization. It's this world of saying, alright, how do we create content that can't just be, , regurgitated by bots, , wholesale taken. And it's a big shift from SEO search engine optimization. This classic work of creating content for Google to give us 10 blue links for people to click on that behavior is changing. And when. We go through a period of change. I always wanna look at primary sources. The people that, , are likely to know the most and do the most. And he operates in the for-profit world. But make no mistake, he cares deeply about nonprofits. His expertise, , has frankly been tested, proven and reproven. So I pay attention when he says things like, SEO is going away, and AEO is here to stay. So I give you Avan Kashic. I'm beyond excited that he has come back. He was on our 45th episode and now we are well over our 450th episode. So, , who knows what'll happen next time we talk to him. [00:03:00] This week on the podcast, we have Avinash Kaushik. He is currently the chief strategy officer at Human Made Machine, but actually returning guest after many, many years, and I know him because he basically introduced me to Google Analytics, wrote the literal book on it, and also helped, by the way. No big deal. Literally birth Google Analytics for everyone. During his time at Google, I could spend the entire podcast talking about, uh, the amazing amounts that you have contributed to, uh, marketing and analytics. But I'd rather just real quick, uh, how are you doing and how would you describe your, uh, your role right now? Avinash Kaushik: Oh, thank you. So it's very excited to be back. Um, look forward to the discussion today. I do, I do several things concurrently, of course. I, I, I am an author and I write this weekly newsletter on marketing and analytics. Um, I am the Chief Strategy Officer at Human Made Machine, a company [00:04:00] that obsesses about helping brands win before they spend by doing creative pretesting. And then I also do, uh, uh, consulting at Tapestry, which owns Coach and Kate Spades. And my work focuses on brand strategy and marketing transformation globally. George Weiner: , Amazing. And of course, Occam's Razor. The, the, yes, the blog, which is incredible. I happen to be a, uh, a subscriber. You know, I often think of you in the nonprofit landscape, even though you operate, um, across many different brands, because personally, you also actually donate all of your proceeds from your books, from your blog, from your subscription. You are donating all of that, um, because that's just who you are and what you do. So I also look at you as like team nonprofit, though. Avinash Kaushik: You're very kind. No, no, I, I, yeah. All the proceeds from both of my books and now my newsletter, premium newsletter. It's about $200,000 a year, uh, donated to nonprofits, and a hundred [00:05:00] percent of the revenue is donated nonprofit, uh, nonprofits. And, and for me, it, it's been ai. Then I have to figure out. Which ones, and so I research nonprofits and I look up their cha charity navigators, and I follow up with the people and I check in on the works while, while don't work at a nonprofit, but as a customer of nonprofits, if you will. I, I keep sort of very close tabs on the amazing work that these charities do around the world. So feel very close to the people that you work with very closely. George Weiner: So recently I got an all caps subject line from you. Well, not from you talking about this new acronym that was coming to destroy the world, I think is what you, no, AEO. Can you help us understand what answer engine optimization is? Avinash Kaushik: Yes, of course. Of course. We all are very excited about ai. Obviously you, you, you would've to live in. Some backwaters not to be excited about it. And we know [00:06:00] that, um, at the very edge, lots of people are using large language models, chat, GPT, Claude, Gemini, et cetera, et cetera, in the world. And, and increasingly over the last year, what you have begun to notice is that instead of using a traditional search engine like Google or using the old Google interface with the 10 blue links, et cetera. People are beginning to use these lms. They just go to chat, GPT to get the answer that they want. And the one big difference in this, this behavior is I actually have on September 8th, I have a keynote here in New York and I have to be in Shanghai the next day. That is physically impossible because it, it just, the time it takes to travel. But that's my thing. So today, if I wanted to figure out what is the fastest way. On September 8th, I can leave New York and get to Shanghai. I would go to Google flights. I would put in the destinations. It will come back with a crap load of data. Then I poke and prod and sort and filter, and I have to figure out which flight is right for that. For this need I have. [00:07:00] So that is the old search engine world. I'm doing all the work, hunting and pecking, drilling down, visiting websites, et cetera, et cetera. Instead, actually what I did is I went to charge GBT 'cause I, I have a plus I, I'm a paying member of charge GBT and I said to charge GBTI have to do a keynote between four and five o'clock on September 8th in New York and I have to be in Shanghai as fast as I possibly can be After my keynote, can you find me the best flight? And I just typed in those two sentences. He came back and said, this Korean airline website flight is the best one for you. You will not get to your destination on time until, unless you take a private jet flight for $300,000. There is your best option. They're gonna get to Shanghai on, uh, September 10th at 10 o'clock in the morning if you follow these steps. And so what happened there? I didn't have to hunt and pack and dig and go to 15 websites to find the answer I wanted. The engine found the [00:08:00] answer I wanted at the end and did all the work for me that you are seeing from searching, clicking, clicking, clicking, clicking, clicking to just having somebody get you. The final answer is what I call the, the, the underlying change in consumer behavior that makes answer engine so exciting. Obviously, it creates a challenge for us because what happened between those two things, George is. I didn't have to visit many websites. So traffic is going down, obviously, and these interfaces at the moment don't have paid search links for now. They will come, they will come, but they don't at the moment. So traffic's gonna go down. So if you're a business, you're a nonprofit, how. Do you deal with the fact that you're gonna lose a lot of traffic that you get from a search engine? Today, when all of humanity moves to the answer Engine W world, only about two or 3% of the people are doing it. It's growing very rapidly. Um, and so the art of answer engine optimization [00:09:00] is making sure that we are building for these LMS and not getting stuck with only solving for Google with the old SEO techniques. Some of them still work, but you need to learn a lot of new stuff because on average, organic traffic will drop between 16 to 64% negative and paid search traffic will drop between five to 30% negative. And that is a huge challenge. And the reason you should start with AEO now George Weiner: that you know. Is a window large enough to drive a metaphorical data bus through? And I think talk to your data doctor results may vary. You are absolutely right. We have been seeing this with our nonprofit clients, with our own traffic that yes, basically staying even is the new growth. Yeah. But I want to sort of talk about the secondary implications of an AI that has ripped and gripped [00:10:00] my website's content. Then added whatever, whatever other flavors of my brand and information out there, and is then advising somebody or talking about my brand. Can you maybe unwrap that a little bit more? What are the secondary impacts of frankly, uh, an AI answering what is the best international aid organization I should donate to? Yes. As you just said, you do Avinash Kaushik: exactly. No, no, no. This such a, such a wonderful question. It gets to the crux. What used to influence Google, by the way, Google also has an answer engine called Gemini. So I just, when I say Google, I'm referring to the current Google that most people use with four paid links and 10 SEO links. So when I say Google, I'm referring to that one. But Google also has an answer engine. I, I don't want anybody saying Google does is not getting into the answer engine business. It is. So Google is very much influenced by content George that you create. I call it one P content, [00:11:00] first party content. Your website, your mobile app, your YouTube channel, your Facebook page, your, your, your, your, and it sprinkles on some amount of third party content. Some websites might have reviews about you like Yelp, some websites might have PR releases about you light some third party content. Between search engine and engines. Answer Engines seem to overvalue third party content. My for one p content, my website, my mobile app, my YouTube channel. My, my, my, everything actually is going down in influence while on Google it's pretty high. So as here you do SEO, you're, you're good, good ranking traffic. But these LLMs are using many, many, many, literally tens of thousands more sources. To understand who you are, who you are as a nonprofit, and it's [00:12:00] using everybody's videos, everybody's Reddit posts, everybody's Facebook things, and tens of thousands of more people who write blogs and all kinds of stuff in order to understand who you are as a nonprofit, what services you offer, how good you are, where you're falling short, all those negative reviews or positive reviews, it's all creepy influence. Has gone through the roof, P has come down, which is why it has become very, very important for us to build a new content strategy to figure out how we can influence these LMS about who we are. Because the scary thing is at this early stage in answer engines, someone else is telling the LLMs who you are instead of you. A more, and that's, it feels a little scary. It feels as scary as a as as a brand. It feels very scary as I'm a chief strategy officer, human made machine. It feels scary for HMM. It feels scary for coach. [00:13:00] It's scary for everybody, uh, which is why you really urgently need to get a handle on your content strategy. George Weiner: Yeah, I mean, what you just described, if it doesn't give you like anxiety, just stop right now. Just replay what we just did. And that is the second order effects. And you know, one of my concerns, you mentioned it early on, is that sort of traditional SEO, we've been playing the 10 Blue Link game for so long, and I'm worried that. Because of the changes right now, roughly what 20% of a, uh, search is AI overview, that number's not gonna go down. You're mentioning third party stuff. All of Instagram back to 2020, just quietly got tossed into the soup of your AI brand footprint, as we call it. Talk to me about. There's a nonprofit listening to this right now, and then probably if they're smart, other organizations, what is coming in the next year? They're sitting down to write the same style of, you know, [00:14:00] ai, SEO, optimized content, right? They have their content calendar. If you could have like that, I'm sitting, you're sitting in the room with them. What are you telling that classic content strategy team right now that's about to embark on 2026? Avinash Kaushik: Yes. So actually I, I published this newsletter just last night, and this is like the, the fourth in my AEO series, uh, newsletter, talks about how to create your content portfolio strategy. Because in the past we were like, we've got a product pages, you know, the equivalent of our, our product pages. We've got some, some, uh, charitable stories on our website and uh, so on and so forth. And that's good. That's basic. You need to do the basics. The interesting thing is you need to do so much more both on first party. So for example, one of the first things to appreciate is LMS or answer engines are far more influenced by multimodal content. So what does that mean? Text plus [00:15:00] video plus audio. Video and audio were also helpful in Google. And remember when I say Google, I'm referring to the old linky linking Google, not Gemini. But now video has ton more influence. So if you're creating a content strategy for next year, you should say many. Actually, lemme do one at a time. Text. You have to figure out more types of things. Authoritative Q and as. Very educational deep content around your charity's efforts. Lots of text. Third. Any seasonality, trends and patterns that happen in your charity that make a difference? I support a school in, in Nepal and, and during the winter they have very different kind of needs than they do during the summer. And so I bumped into this because I was searching about something seasonality related. This particular school for Tibetan children popped up in Nepal, and it's that content they wrote around winter and winter struggles and coats and all this stuff. I'm like. [00:16:00] It popped up in the answer engine and I'm like, okay. I research a bit more. They have good stories about it, and I'm supporting them q and a. Very, very important. Testimonials. Very, very important interviews. Very, very important. Super, super duper important with both the givers and the recipients, supporters of your nonprofit, but also the recipient recipients of very few nonprofits actually interview the people who support them. George Weiner: Like, why not like donors or be like, Hey, why did you support us? What was the, were the two things that moved you from Aware to care? Avinash Kaushik: Like for, for the i I Support Emergency, which is a Italian nonprofit like Ms. Frontiers and I would go on their website and speak a fiercely about why I absolutely love the work they do. Content, yeah. So first is text, then video. You gotta figure out how to use video a lot more. And most nonprofits are not agile in being able to use video. And the third [00:17:00] thing that I think will be a little bit of a struggle is to figure out how to use audio. 'cause audio also plays a very influential role. So for as you are planning your uh, uh, content calendar for the next year. Have the word multimodal. I'm sorry, it's profoundly unsexy, but put multimodal at the top, underneath it, say text, then say video, then audio, and start to fill those holes in. And if those people need ideas and example of how to use audio, they should just call you George. You are the king of podcasting and you can absolutely give them better advice than I could around how nonprofits could use audio. But the one big thing you have to think about is multimodality for next year George Weiner: that you know, is incredibly powerful. Underlying that, there's this nuance that I really want to make sure that we understand, which is the fact that the type of content is uniquely different. It's not like there's a hunger organization listening right now. It's not 10 facts about hunger during the winter. [00:18:00] Uh, days of being able to be an information resource that would then bring people in and then bring them down your, you know, your path. It's game over. If not now, soon. Absolutely. So how you are creating things that AI can't create and that's why you, according to whom, is what I like to think about. Like, you're gonna say something, you're gonna write something according to whom? Is it the CEO? Is it the stakeholder? Is it the donor? And if you can put a attribution there, suddenly the AI can't just lift and shift it. It has to take that as a block and be like, no, it was attributed here. This is the organization. Is that about right? Or like first, first party data, right? Avinash Kaushik: I'll, I'll add one more, one more. Uh, I'll give a proper definition. So, the fir i I made 11 recommendations last night in the newsletter. The very first one is focus on creating AI resistant content. So what, what does that mean? AI resistant means, uh, any one of us from nonprofits could [00:19:00] open chat, GPT type in a few queries and chat. GD PT can write our next nonprofit newsletter. It could write the next page for our donation. It could create the damn page for our donation, right? Remember, AI can create way more content than you can, but if you can use AI to create content, 67 million other nonprofits are doing the same thing. So what you have to do is figure out how to build AI resistant content, and my definition is very simple. George, what is AI resistance? It's content of genuine novelty. So to tie back to your recommendation, your CEO of a nonprofit that you just recommended, the attribution to George. Your CEO has a unique voice, a unique experience. The AI hasn't learned what makes your CEO your frontline staff solving problems. You are a person who went and gave a speech at the United Nations on behalf of your nonprofit. Whatever you are [00:20:00] doing is very special, and what you have to figure out is how to get out of the AI slop. You have to get out of all the things that AI can automatically type. Figure out if your content meets this very simple, standard, genuine novelty and depth 'cause it's the one thing AI isn't good at. That's how you rank higher. And not only will will it, will it rank you, but to make another point you made, George, it's gonna just lift, blanc it out there and attribute credit to you. Boom. But if you're not genuine, novelty and depth. Thousand other nonprofits are using AI to generate text and video. Could George Weiner: you just, could you just quit whatever you're doing and start a school instead? I seriously can't say it enough that your point about AI slop is terrifying me because I see it. We've built an AI tool and the subtle lesson here is that think about how quickly this AI was able to output that newsletter. Generic old school blog post and if this tool can do it, which [00:21:00] by the way is built on your local data set, we have the rag, which doesn't pause for a second and realize if this AI can make it, some other AI is going to be able to reproduce it. So how are you bringing the human back into this? And it's a style of writing and a style of strategic thinking that please just start a school and like help every single college kid leaving that just GPT their way through a degree. Didn't freaking get, Avinash Kaushik: so it's very, very important to make sure. Content is of genuine novelty and depth because it cannot be replicated by the ai. And by the way, this, by the way, George, it sounds really high, but honestly to, to use your point, if you're a CEO of a nonprofit, you are in it for something that speaks to you. You're in it. Because ai, I mean nonprofit is not your path to becoming the next Bill Gates, you're doing it because you just have this hair. Whoa, spoiler alert. No, I'm sorry. [00:22:00] Maybe, maybe that is. I, I didn't, I didn't mean any negative emotion there, but No, I love it. It's all, it's like a, it's like a sense of passion you are bringing. There's something that speaks to you. Just put that on paper, put that on video, put that on audio, because that is what makes you unique. And the collection of those stories of genuine depth and novelty will make your nonprofit unique and stand out when people are looking for answers. George Weiner: So I have to point to the next elephant in the room here, which is measurement. Yes. Yes. Right now, somebody is talking about human made machine. Someone's talking about whole whale. Someone's talking about your nonprofit having a discussion in an answer engine somewhere. Yes. And I have no idea. How do I go about understanding measurement in this new game? Avinash Kaushik: I have. I have two recommendations. For nonprofits, I would recommend a tool called Tracker ai, TRA, KKR [00:23:00] ai, and it has a free version, that's why I'm recommending it. Some of the many of these tools are paid tools, but with Tracker, do ai. It allows you to identify your website, URL, et cetera, et cetera, and it'll give you some really wonderful and fantastic, helpful report It. Tracker helps you understand prompt tracking, which is what are other people writing about you when they're seeking? You? Think of this, George, as your old webmaster tools. What keywords are people using to search? Except you can get the prompts that people are using to get a more robust understanding. It also monitors your brand's visibility. How often are you showing up and how often is your competitor showing up, et cetera, et cetera. And then he does that across multiple search engines. So you can say, oh, I'm actually pretty strong in OpenAI for some reason, and I'm not that strong in Gemini. Or, you know what, I have like the highest rating in cloud, but I don't have it in OpenAI. And this begins to help you understand where your current content strategy is working and where it is not [00:24:00] working. So that's your brand visibility. And the third thing that you get from Tracker is active sentiment tracking. This is the scary part because remember, you and I were both worried about what other people saying about us. So this, this are very helpful that we can go out and see what it is. What is the sentiment around our nonprofit that is coming across in, um, in these lms? So Tracker ai, it have a free and a paid version. So I would, I would recommend using it for these three purposes. If, if you have funding to invest in a tool. Then there's a tool called Ever Tool, E-V-E-R-T-U-N-E Ever. Tune is a paid tool. It's extremely sophisticated and robust, and they do brand monitoring, site audit, content strategy, consumer preference report, ai, brand index, just the. Step and breadth of metrics that they provide is quite extensive, but, but it is a paid tool. It does cost money. It's not actually crazy expensive, but uh, I know I have worked with them before, so full disclosure [00:25:00] and having evaluated lots of different tools, I have sort of settled on those two. If it's a enterprise type client I'm working with, then I'll use Evert Tune if I am working with a nonprofit or some of my personal stuff. I'll use Tracker AI because it's good enough for a person that is, uh, smaller in size and revenue, et cetera. So those two tools, so we have new metrics coming, uh, from these tools. They help us understand the kind of things we use webmaster tools for in the past. Then your other thing you will want to track very, very closely is using Google Analytics or some other tool on your website. You are able to currently track your, uh, organic traffic and if you're taking advantage of paid ads, uh, through a grant program on Google, which, uh, provides free paid search credits to nonprofits. Then you're tracking your page search traffic to continue to track that track trends, patterns over time. But now you will begin to see in your referrals report, in your referrals report, you're gonna begin to seeing open [00:26:00] ai. You're gonna begin to see these new answer engines. And while you don't know the keywords that are sending this traffic and so on and so forth, it is important to keep track of the traffic because of two important reasons. One, one, you want to know how to highly prioritize. AEO. That's one reason. But the other reason I found George is syn is so freaking hard to rank in an answer engine. When people do come to my websites from Answer engine, the businesses I work with that is very high intent person, they tend to be very, very valuable because they gave the answer engine a very complex question to answer the answers. Engine said you. The right answer for it. So when I show up, I'm ready to buy, I'm ready to donate. I'm ready to do the action that I was looking for. So the percent of people who are coming from answer engines to your nonprofit carry significantly higher intention, and coming from Google, who also carry [00:27:00] intent. But this man, you stood out in an answer engine, you're a gift from God. Person coming thinks you're very important and is likely to engage in some sort of business with you. So I, even if it's like a hundred people, I care a lot about those a hundred people, even if it's not 10,000 at the moment. Does that make sense George? George Weiner: It does, and I think, I'm glad you pointed to, you know, the, the good old Google Analytics. I'm like, it has to be a way, and I, I think. I gave maximum effort to this problem inside of Google Analytics, and I'm still frustrated that search console is not showing me, and it's just blending it all together into one big soup. But. I want you to poke a hole in this thinking or say yes or no. You can create an AI channel, an AEO channel cluster together, and we have a guide on that cluster together. All of those types of referral traffic, as you mentioned, right from there. I actually know thanks to CloudFlare, the ratios of the amount of scrapes versus the actual clicks sent [00:28:00] for roughly 20, 30% of. Traffic globally. So is it fair to say I could assume like a 2% clickthrough or a 1% clickthrough, or even worse in some cases based on that referral and then reverse engineer, basically divide those clicks by the clickthrough rate and essentially get a rough share of voice metric on that platform? Yeah. Avinash Kaushik: So, so for, um, kind of, kind of at the moment, the problem is that unlike Google giving us some decent amount of data through webmaster tools. None of these LLMs are giving us any data. As a business owner, none of them are giving us any data. So we're relying on third parties like Tracker. We're relying on third parties like Evert Tune. You understand? How often are we showing up so we could get a damn click through, right? Right. We don't quite have that for now. So the AI Brand Index in Evert Tune comes the closest. Giving you some information we could use in the, so your thinking is absolutely right. Your recommendation is ly, right? Even if you can just get the number of clicks, even if you're tracking them very [00:29:00] carefully, it's very important. Please do exactly what you said. Make the channel, it's really important. But don't, don't read too much into the click-through rate bits, because we're missing the. We're missing a very important piece of information. Now remember when Google first came out, we didn't have tons of data. Um, and that's okay. These LLMs Pro probably will realize over time if they get into the advertising business that it's nice to give data out to other people, and so we might get more data. Until then, we are relying on these third parties that are hacking these tools to find us some data. So we can use it to understand, uh, some of the things we readily understand about keywords and things today related to Google. So we, we sadly don't have as much visibility today as we would like to have. George Weiner: Yeah. We really don't. Alright. I have, have a segment that I just invented. Just for you called Avanade's War Corner. And in Avanade's War Corner, I noticed that you go to war on various concepts, which I love because it brings energy and attention to [00:30:00] frankly data and finding answers in there. So if you'll humor me in our war corner, I wanna to go through some, some classic, classic avan. Um, all right, so can you talk to me a little bit about vanity metrics, because I think they are in play. Every day. Avinash Kaushik: Absolutely. No, no, no. Across the board, I think in whatever we do. So, so actually I'll, I'll, I'll do three. You know, so there's vanity metrics, activity metrics and outcome metrics. So basically everything goes into these three buckets essentially. So vanity metrics are, are the ones that are very easy to find, but them moving up and down has nothing to do with the number of donations you're gonna get as a nonprofit. They're just there to ease our ego. So, for example. Let's say we are a nonprofit and we run some display ads, so measure the number of impressions that were delivered for our display ad. That's a vanity metric. It doesn't tell you anything. You could have billions of impressions. You could have 10 impressions, doesn't matter, but it is easily [00:31:00] available. The count is easily available, so we report it. Now, what matters? What matters are, did anybody engage with the ad? What were the percent of people who hovered on the ad? What were the number of people who clicked on the ad activity metrics? Activity metrics are a little more useful than vanity metrics, but what does it matter for you as a non nonprofit? The number of donations you received in the last 24 hours. That's an outcome metric. Vanity activity outcome. Focus on activity to diagnose how well our campaigns or efforts are doing in marketing. Focus on outcomes to understand if we're gonna stay in business or not. Sorry, dramatic. The vanity metrics. Chasing is just like good for ego. Number of likes is a very famous one. The number of followers on a social paia, a very famous one. Number of emails sent is another favorite one. There's like a whole host of vanity metrics that are very easy to get. I cannot emphasize this enough, but when you unpack and or do meta-analysis of [00:32:00] relationship between vanity metrics and outcomes, there's a relationship between them. So we always advise people that. Start by looking at activity metrics to help you understand the user's behavior, and then move to understanding outcome metrics because they are the reason you'll thrive. You will get more donations or you will figure out what are the things that drive more donations. Otherwise, what you end up doing is saying. If I post provocative stuff on Facebook, I get more likes. Is that what you really wanna be doing? But if your nonprofit says, get me more likes, pretty soon, there's like a naked person on Facebook that gets a lot of likes, but it's corrupting. Yeah. So I would go with cute George Weiner: cat, I would say, you know, you, you get the generic cute cat. But yeah, same idea. The Internet's built on cats Avinash Kaushik: and yes, so, so that's why I, I actively recommend people stay away from vanity metrics. George Weiner: Yeah. Next up in War Corner, the last click [00:33:00] fallacy, right? The overweighting of this last moment of purchase, or as you'd maybe say in the do column of the See, think, do care. Avinash Kaushik: Yes. George Weiner: Yes. Avinash Kaushik: So when the, when the, when we all started to get Google Analytics, we got Adobe Analytics web trends, remember them, we all wanted to know like what drove the conversion. Mm-hmm. I got this donation for a hundred dollars. I got a donation for a hundred thousand dollars. What drove the conversion. And so what lo logically people would just say is, oh, where did this person come from? And I say, oh, the person came from Google. Google drove this conversion. Yeah, his last click analysis just before the conversion. Where did the person come from? Let's give them credit. But the reality is it turns out that if you look at consumer behavior, you look at days to donation, visits to donation. Those are two metrics available in Google. It turns out that people visit multiple times before [00:34:00] they make a donation. They may have come through email, their interest might have been triggered through your email. Then they suddenly remembered, oh yeah, yeah, I wanted to go to the nonprofit and donate something. This is Google, you. And then Google helps them find you and they come through. Now, who do you give credit Email or the Google, right? And what if you came 5, 7, 8, 10 times? So the last click fallacy is that it doesn't allow you to see the full consumer journey. It gives credit to whoever was the last person who sent you this, who introduced this person to your website. And so very soon we move to looking at what we call MTI, Multi-Touch Attribution, which is a free solution built into Google. So you just go to your multichannel funnel reports and it will help you understand that. One, uh, 150 people came from email. Then they came from Google. Then there was a gap of nine days, and they came back from Facebook and then they [00:35:00] converted. And what is happening is you're beginning to understand the consumer journey. If you understand the consumer journey better, we can come with better marketing. Otherwise, you would've said, oh, close shop. We don't need as many marketing people. We'll just buy ads on Google. We'll just do SEO. We're done. Oh, now you realize there's a more complex behavior happening in the consumer. They need to solve for email. You solve for Google, you need to solve Facebook. In my hypothetical example, so I, I'm very actively recommend people look at the built-in free MTA reports inside the Google nalytics. Understand the path flow that is happening to drive donations and then undertake activities that are showing up more often in the path, and do fewer of those things that are showing up less in the path. George Weiner: Bring these up because they have been waiting on my mind in the land of AEO. And by the way, we're not done with war. The war corner segment. There's more war there's, but there's more, more than time. But with both of these metrics where AEO, if I'm putting these glasses back on, comes [00:36:00] into play, is. Look, we're saying goodbye to frankly, what was probably somewhat of a vanity metric with regard to organic traffic coming in on that 10 facts about cube cats. You know, like, was that really how we were like hanging our hat at night, being like. Job done. I think there's very much that in play. And then I'm a little concerned that we just told everyone to go create an AEO channel on their Google Analytics and they're gonna come in here. Avinash told me that those people are buyers. They're immediately gonna come and buy, and why aren't they converting? What is going on here? Can you actually maybe couch that last click with the AI channel inbound? Like should I expect that to be like 10 x the amount of conversions? Avinash Kaushik: All we can say is it's, it's going to be people with high intention. And so with the businesses that I'm working with, what we are finding is that the conversion rates are higher. Mm. This game is too early to establish any kind of sense of if anybody has standards for AEO, they're smoking crack. Like the [00:37:00] game is simply too early. So what we I'm noticing is that in some cases, if the average conversion rate is two point half percent, the AEO traffic is converting at three, three point half. In two or three cases, it's converting at six, seven and a half. But there is not enough stability in the data. All of this is new. There's not enough stability in the data to say, Hey, definitely you can expect it to be double or 10% more or 50% more. We, we have no idea this early stage of the game, but, but George, if we were doing this again in a year, year and a half, I think we'll have a lot more data and we'll be able to come up with some kind of standards for, for now, what's important to understand is, first thing is you're not gonna rank in an answer engine. You just won't. If you do rank in an answer engine, you fought really hard for it. The person decided, oh my God, I really like this. Just just think of the user behavior and say, this person is really high intent because somehow [00:38:00] you showed up and somehow they found you and came to you. Chances are they're caring. Very high intent. George Weiner: Yeah. They just left a conversation with a super intelligent like entity to come to your freaking 2001 website, HTML CSS rendered silliness. Avinash Kaushik: Whatever it is, it could be the iffiest thing in the world, but they, they found me and they came to you and they decided that in the answer engine, they like you as the answer the most. And, and it took that to get there. And so all, all, all is I'm finding in the data is that they carry higher intent and that that higher intent converts into higher conversion rates, higher donations, as to is it gonna be five 10 x higher? It's unclear at the moment, but remember, the other reason you should care about it is. Every single day. As more people move away from Google search engines to answer engines, you're losing a ton of traffic. If somebody new showing up, treat them with, respect them with love. Treat them with [00:39:00] care because they're very precious. Just lost a hundred. Check the landing George Weiner: pages. 'cause you may be surprised where your front door is when complexity is bringing them to you, and it's not where you spent all of your design effort on the homepage. Spoiler. That's exactly Avinash Kaushik: right. No. Exactly. In fact, uh, the doping deeper into your websites is becoming even more prevalent with answer engines. Mm-hmm. Um, uh, than it used to be with search engines. The search always tried to get you the, the top things. There's still a lot of diversity. Your homepage likely is still only 30% of your traffic. Everybody else is landing on other homepage or as you call them, landing pages. So it's really, really important to look beyond your homepage. I mean, it was true yesterday. It's even truer today. George Weiner: Yeah, my hunch and what I'm starting to see in our data is that it is also much higher on the assisted conversion like it is. Yes. Yes, it is. Like if you have come to us from there, we are going to be seeing you again. That's right. That's right. More likely than others. It over indexes consistently for us there. Avinash Kaushik: [00:40:00] Yes. Again, it ties back to the person has higher intent, so if they didn't convert in that lab first session, their higher intent is gonna bring them back to you. So you are absolutely right about the data that you're seeing. George Weiner: Um, alright. War corner, the 10 90 rule. Can you unpack this and then maybe apply it to somebody who thinks that their like AI strategy is done? 'cause they spend $20 or $200 a month on some tool and then like, call it a day. 'cause they did ai. Avinash Kaushik: Yes, yes. No, it's, it's good. I, I developed it in context of analytics. When I was at my, uh, job at Intuit, I used to, I was at Intuit, senior director for research and analytics. And one of the things I found is people would consistently spend lots of money on tools in that time, web analytics tools, research tools, et cetera. And, uh, so they're spending a contract of a few hundred thousand dollars or hundreds of thousands of dollars, and then they give it to a fresh graduate to find insights. [00:41:00] I was like, wait, wait, wait. So you took this $300,000 thing and gave it to somebody. You're paying $45,000 a year. Who is young in their career, young in their career, and expecting them to make you tons of money using this tool? It's not the tool, it's the human. And so that's why I developed the the 10 90 rule, which is that if you have a, if you have a hundred dollars to invest in making smarter decisions, invest $10 in the tool, $90 in the human. We all have access to so much data, so much complexity. The world is changing so fast that it is the human that is going to figure out how to make sense of these insights rather than the tool magically spewing and understanding your business enough to tell you exactly what to do. So that, that's sort of where the 10 90 rule came from. Now, sort of we are in this, in this, um, this is very good for nonprofits by the way. So we're in this era. Where On the 90 side? No. So the 10, look, don't spend insane money on tools that is just silly. So don't do that. Now the 90, let's talk about the [00:42:00] 90. Up until two years ago, I had to spell all of the 90 on what I now call organic humans. You George Weiner: glasses wearing humans, huh? Avinash Kaushik: The development of LLM means that every single nonprofit in the world has access to roughly a third year bachelor's degree student. Like a really smart intern. For free. For free. In fact, in some instances, for some nonprofits, let's say I I just reading about this nonprofit that is cleaning up plastics in the ocean for this particular nonprofit, they have access to a p HT level environmentalist using the latest Chad GP PT 4.5, like PhD level. So the little caveat I'm beginning to put in the 10 90 rule is on the 90. You give the 90 to the human and for free. Get the human, a very smart Bachelor's student by using LLMs in some instances. Get [00:43:00] for free a very smart TH using the LLMs. So the LLMs have now to be incorporated into your research, into your analysis, into building a next dashboard, into building a next website, into building your next mobile game into whatever the hell you're doing for free. You can get that so you have your organic human. Less the synthetic human for free. Both of those are in the 90 and, and for nonprofit, so, so in my work at at Coach and Kate Spade. I have access now to a couple of interns who do free work for me, well for 20 minor $20 a month because I have to pay for the plus version of G bt. So the intern costs $20 a month, but I have access to this syn synthetic human who can do a whole lot of work for me for $20 a month in my case, but it could also do it for free for you. Don't forget synthetic humans. You no longer have to rely only on the organic humans to do the 90 part. You would be stunned. Upload [00:44:00] your latest, actually take last year's worth of donations, where they came from and all this data from you. Have a spreadsheet lying around. Dump it into chat. GPT, I'll ask it to analyze it. Help you find where most donations came from, and visualize trends to present to board of directors. It will blow your mind how good it is at do it with Gemini. I'm not biased, I'm just seeing chat. GPD 'cause everybody knows it so much Better try it with mistrial a, a small LLM from France. So I, I wanna emphasize that what has changed over the last year is the ability for us to compliment our organic humans with these synthetic entities. Sometimes I say synthetic humans, but you get the point. George Weiner: Yeah. I think, you know, definitely dump that spreadsheet in. Pull out the PII real quick, just, you know, make me feel better as, you know, the, the person who's gonna be promoting this to everybody, but also, you know, sort of. With that. I want to make it clear too, that like actually inside of Gemini, like Google for nonprofits has opened up access to Gemini for free is not a per user, per whatever. You have that [00:45:00] you have notebook, LLM, and these. Are sitting in their backyards for free every day and it's like a user to lose it. 'cause you have a certain amount of intelligence tokens a day. Can you, I just like wanna climb like the tallest tree out here and just start yelling from a high building about this. Make the case of why a nonprofit should be leveraging this free like PhD student that is sitting with their hands underneath their butts, doing nothing for them right now. Avinash Kaushik: No, it is such a shame. By the way, I cannot add to your recommendation in using your Gemini Pro account if it's free, on top of, uh, all the benefits you can get. Gemini Pro also comes with restrictions around their ability to use your data. They won't, uh, their ability to put your data anywhere. Gemini free versus Gemini Pro is a very protected environment. Enterprise version. So more, more security, more privacy, et cetera. That's a great benefit. And by the way, as you said, George, they can get it for free. So, um, the, the, the, the posture you should adopt is what big companies are doing, [00:46:00] which is anytime there is a job to be done, the first question you, you should ask is, can I make the, can an AI do the job? You don't say, oh, let me send it to George. Let me email Simon, let me email Sarah. No, no, no. The first thing that should hit your head is. I do the job because most of the time for, again, remember, third year bachelor's degree, student type, type experience and intelligence, um, AI can do it better than any human. So your instincts to be, let me outsource that kind of work so I can free up George's cycles for the harder problems that the AI cannot solve. And by the way, you can do many things. For example, you got a grant and now Meta allows you to run X number of ads for free. Your first thing, single it. What kind of ad should I create? Go type in your nonprofit, tell it the kind of things you're doing. Tell it. Tell it the donations you want, tell it the size, donation, want. Let it create the first 10 ads for you for free. And then you pick the one you like. And even if you have an internal [00:47:00] designer who makes ads, they'll start with ideas rather than from scratch. It's just one small example. Or you wanna figure out. You know, my email program is stuck. I'm not getting yield rates for donations. The thing I want click the button that called that is called deep research or thinking in the LL. Click one of those two buttons and then say, I'm really struggling. I'm at wits end. I've tried all these things. Write all the detail. Write all the detail about what you've tried and now working. Can you please give me three new ideas that have worked for nonprofits who are working in water conservation? Hmm. This would've taken a human like a few days to do. You'll have an answer in under 90 seconds. I just give two simple use cases where we can use these synthetic entities to send us, do the work for us. So the default posture in nonprofits should be, look, we're resource scrapped anyway. Why not use a free bachelor's degree student, or in some case a free PhD student to do the job, or at least get us started on a job. So just spending 10 [00:48:00] hours on it. We only spend the last two hours. The entity entity does the first date, and that is super attractive. I use it every single day in, in one of my browsers. I have three traps open permanently. I've got Claude, I've got Mistrial, I've got Charge GPT. They are doing jobs for me all day long. Like all day long. They're working for me. $20 each. George Weiner: Yeah, it's an, it, it, it's truly, it's an embarrassment of riches, but also getting back to the, uh, the 10 90 is, it's still sitting there. If you haven't brought that capacity building to the person on how to prompt how to play that game of linguistic tennis with these tools, right. They're still just a hammer on a. Avinash Kaushik: That's exactly right. That's exactly right. Or, or in your case, you, you have access to Gemini for nonprofits. It's a fantastic tool. It's like a really nice card that could take you different places you insist on cycling everywhere. It's, it's okay cycle once in a while for health reasons. Otherwise, just take the car, it's free. George Weiner: Ha, you've [00:49:00] been so generous with your time. Uh, I do have one more quick war. If you, if you have, have a minute, uh, your war on funnels, and maybe this is not. Fully fair. And I am like, I hear you yelling at me every time I'm showing our marketing funnel. And I'm like, yeah, but I also have have a circle over here. Can you, can you unpack your war on funnels and maybe bring us through, see, think, do, care and in the land of ai? Avinash Kaushik: Yeah. Okay. So the marketing funnel is very old. It's been around for a very long time, and once I, I sort of started working at Google, access to lots more consumer research, lots more consumer behavior. Like 20 years ago, I began to understand that there's no such thing as funnel. So what does the funnel say? The funnel says there's a group of people running around the world, they're not aware of your brand. Find them, scream at them, spray and pray advertising at them, make them aware, and then somehow magically find the exact same people again and shut them down the fricking funnel and make them consider your product.[00:50:00] And now that they're considering, find them again, exactly the same people, and then shove them one more time. Move their purchase index and then drag them to your website. The thing is this linearity that there's no evidence in the universe that this linearity exists. For example, uh, I'm going on a, I like long bike rides, um, and I just got thirsty. I picked up the first brand. I could see a water. No awareness, no consideration, no purchase in debt. I just need water. A lot of people will buy your brand because you happen to be the cheapest. I don't give a crap about anything else, right? So, um, uh, uh, the other thing to understand is, uh, one of the brands I adore and have lots of is the brand. Patagonia. I love Patagonia. I, I don't use the word love for I think any other brand. I love Patagonia, right? For Patagonia. I'm always in the awareness stage because I always want these incredible stories that brand ambassadors tell about how they're helping the environment. [00:51:00] I have more Patagonia products than I should have. I'm already customer. I'm always open to new considerations of Patagonia products, new innovations they're bringing, and then once in a while, I'm always in need to buy a Patagonia product. I'm evaluating them. So this idea that the human is in one of these stages and your job is to shove them down, the funnel is just fatally flawed, no evidence for it. Instead, what you want to do is what is Ash's intent at the moment? He would like environmental stories about how we're improving planet earth. Patagonia will say, I wanna make him aware of my environmental stories, but if they only thought of marketing and selling, they wouldn't put me in the awareness because I'm already a customer who buys lots of stuff from already, right? Or sometimes I'm like, oh, I'm, I'm heading over to London next week. Um, I need a thing, jacket. So yeah, consideration show up even though I'm your customer. So this seating do care is a framework that [00:52:00] says, rather than shoving people down things that don't exist and wasting your money, your marketing should be able to discern any human's intent and then be able to respond with a piece of content. Sometimes that piece of content in an is an ad. Sometimes it's a webpage, sometimes it's an email. Sometimes it's a video. Sometimes it's a podcast. This idea of understanding intent is the bedrock on which seat do care is built about, and it creates fully customer-centric marketing. It is harder to do because intent is harder to infer, but if you wanna build a competitive advantage for yourself. Intent is the magic. George Weiner: Well, I think that's a, a great point to, to end on. And again, so generous with, uh, you know, all the work you do and also supporting nonprofits in the many ways that you do. And I'm, uh, always, always watching and seeing what I'm missing when, um, when a new, uh, AKA's Razor and Newsletter come out. So any final sign off [00:53:00] here on how do people find you? How do people help you? Let's hear it. Avinash Kaushik: You can just Google or answer Engine Me. It's, I'm not hard. I hard to find, but if you're a nonprofit, you can sign up for my newsletter, TMAI marketing analytics newsletter. Um, there's a free one and a paid one, so you can just sign up for the free one. It's a newsletter that comes out every five weeks. It's completely free, no strings or anything. And that way I'll be happy to share my stories around better marketing and analytics using the free newsletter for you so you can sign up for that. George Weiner: Brilliant. Well, thank you so much, Avan. And maybe, maybe we'll have to take you up on that offer to talk sometime next year and see, uh, if maybe we're, we're all just sort of, uh, hanging out with synthetic humans nonstop. Thank you so much. It was fun, George. [00:54:00]

Discover how to build an efficient tech stack for your modern virtual law firm in this comprehensive guide! This episode of Law Subscribed covers everything from essential hardware and software recommendations to detailed purchasing strategies and crucial implementation tips. Learn about the latest AI tools, ergonomic setups, and advanced scheduling and communication platforms. Whether you're looking to streamline your operations or enhance client engagement, this episode is packed with valuable insights to help you optimize your practice. Don't miss out on these game-changing strategies—watch the episode now and take your legal practice to the next level!__________________________I've partnered with Pii to make it easy for you to purchase the setups recommended in this talk! Use the corresponding link to get the hardware you want in one purchase from my setups:Studio SetupMidrange SetupHighrange SetupWant to maximize your law firm? Get your ticket to MaxLawCon!Here's a link to purchase lifetime access to the recordings of My Shingle's AI Teach-In for only $77 if you couldn't make it live.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Check out my other show, the Law for Kids Podcast.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Want to use the subscription model for your law firm? Sign up for the Subscription Seminar waitlist at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠subscriptionseminar.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

Summary In this episode, Marc is chattin' with Colleen García, a seasoned privacy attorney. The conversation begins with an introduction to Colleen's extensive background in cybersecurity law, including her experience working with the U.S. government before transitioning to the private sector. This sets the stage for a deep dive into the complex relationship between data privacy and artificial intelligence (AI), highlighting the importance of understanding legal and ethical considerations as AI technology continues to evolve rapidly. The core of the discussion centers on how AI models are trained on vast amounts of data, often containing personal identifiable information (PII). Colleen emphasizes that respecting individuals' data privacy rights is crucial, especially when it comes to obtaining proper consent for the use of their data in AI systems. She points out that while AI offers many benefits, it also raises significant concerns about data misuse, leakage, and the potential for infringing on privacy rights, which companies must carefully navigate to avoid legal and reputational risks. Colleen elaborates on the current legal landscape, noting that existing data privacy laws—such as those in the U.S., the European Union, Canada, and Singapore—are being adapted to address AI-specific issues. She mentions upcoming regulations like the EU AI Act and highlights the role of the Federal Trade Commission (FTC) in enforcing transparency and honesty in AI disclosures. Although some laws do not explicitly mention AI, their principles are increasingly being applied to regulate AI development and deployment, emphasizing the need for companies to stay compliant and transparent. The conversation then expands to a global perspective, with Colleen discussing how different countries are approaching the intersection of data privacy and AI. She notes that international efforts are underway to develop legal frameworks that address the unique challenges posed by AI, reflecting a broader recognition that AI regulation is a worldwide concern. This global outlook underscores the importance for companies operating across borders to stay informed about evolving legal standards and best practices. In closing, Colleen offers practical advice for businesses seeking to responsibly implement AI. She stresses the importance of building AI systems on a strong foundation of data privacy, including thorough vetting of training data and transparency with users. She predicts that future legislative efforts may lead to more state-level AI laws and possibly a comprehensive federal framework, although the current landscape remains fragmented. The podcast concludes with Colleen inviting listeners to connect with her for further discussion, emphasizing the need for proactive, thoughtful approaches to AI and data privacy in the evolving legal environment. Key Points The Relationship Between Data Privacy and AI: The discussion emphasizes how AI models are trained on data that often includes personal identifiable information (PII), highlighting the importance of respecting privacy rights and obtaining proper consent. Legal Risks and Challenges in AI and Data Privacy: Colleen outlines potential risks such as data leakage, misuse, and the complexities of ensuring compliance with existing privacy laws when deploying AI systems. Current and Emerging Data Privacy Laws: The conversation covers how existing laws (like those from the U.S., EU, Canada, and Singapore) are being adapted to regulate AI, along with upcoming regulations such as the EU AI Act and the role of agencies like the FTC. International Perspectives on AI and Data Privacy: The interview highlights how different countries are approaching AI regulation, emphasizing that this is a global issue with ongoing legislative developments worldwide. Practical Advice for Responsible AI Deployment: Colleen offers guidance for companies to build AI systems on a strong data privacy foun...

Send us a textCRO veteran Dylan Ander (Founder, heatmap.com) joins Jordan to spill the never-before-shared story of how he landed heatmap.com by acquiring an entire C-Corp—and why the name matters for brand authority, SEO, and inbound. We break down why GA4 falls short for eCommerce, how definitions (sessions, idle windows, engagement) skew your numbers vs Shopify, and what to use when you need buyer-truth, not vanity metrics.Dylan unveils element-level revenue analytics—Revenue per Click (RPC) and Revenue per Session (RPS)—plus the coming Revenue per View (RPV), so you can prioritize changes that actually increase cash, not just clicks. We dig into pixel-level behavior tracking (no cookies, no PII), AI insights that call out underperforming elements (e.g., a specific FAQ item), and how to catch bugs and bot traffic before they burn revenue.We also get tactical on replacing Google Optimize, the realities of SaaS pricing (and why “McDonald's pricing” works), and the rise of social search (TikTok as a top search engine) shaping product discovery more than LLM/Chat. If you own a P&L for a DTC brand—or you're the CRO/performance lead—this episode will make you money.What you'll learn→ How Dylan cold-outreaches to acquire companies & premium domains (the “urgent, must speak to founder” play)→ Why GA4 under-/over-reports vs Shopify—and how definitions (idle windows, engagement) distort truth→ The RPC/RPS (and coming RPV) metrics that finally connect elements → revenue→ Pixel-level behavior tracking (no cookies/PII) + AI insights that tell you exactly what to change→ Social search optimization (TikTok search often beats LLM/Chat for product discovery)→ Replacing Google Optimize and building reliable A/B workflows in 2025→ The real cost drivers behind SaaS pricing—and how to price without burning trust→ Bot/junk filtering and defining a “session” that reflects buyers, not noiseWho this is for→ DTC/eCommerce founders & growth leaders→ CROs, performance marketers, and Shopify teams→ SaaS operators curious about pricing, PLG, and analytics positioningTimestamp:00:00 Intro & why this convo matters for DTC02:00 The C-Corp acquisition story behind heatmap.com06:30 Exact-match domains, SEO, and the inbound engine09:20 GA4 vs Shopify: definitions that change your numbers16:30 RIP Google Optimize: reliable A/B testing in 202518:50 Element-level revenue: RPC, RPS (and RPV coming)22:30 Pixel-level tracking & AI insights (no cookies/PII)26:15 Catching bugs + filtering bots/junk traffic28:40 Social search: TikTok as a top product discovery engine31:20 SaaS pricing & the “McDonald's” strategy36:40 Who should use revenue-based heatmaps (and why)44:30 Contrarian analytics takes you need to hear55:10 Personal: life, music, and loving the gameGuestDylan Ander — Founder, heatmap.com (revenue-based heatmaps, funnels, analytics for ecom). Mentions his upcoming book, Billion Dollar Websites.

Officials in St. Paul, Minnesota declare a state of emergency following a cyberattack. Hackers disrupt a major French telecom. A power outage causes widespread service disruptions for cloud provider Linode. Researchers reveal a critical authentication bypass flaw in an AI-driven app development platform. A new study shows AI training data is chock full of PII. Fallout continues for the Tea dating safety app. Hackers are actively exploiting a critical SAP NetWeaver vulnerability to deploy malware. CISA and the FBI update their Scattered Spider advisory. A Florida prison exposes personal information of visitors to all of its inmates. Our guest today is Keith Mularski, Chief Global Ambassador at Qintel, retired FBI Special Agent, and co-host of Only Malware in the Building. CISA and Senator Wyden come to terms —mostly— over the long-buried US Telecommunications Insecurity Report.  Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Our guest today is Keith Mularski, Chief Global Ambassador at Qintel, retired FBI Special Agent, and co-host of Only Malware in the Building discussing what it's like to be the new host on the N2K CyberWire network and giving a glimpse into some upcoming episodes. You can catch Keith and his co-hosts Selena Larson, Staff Threat Researcher and Lead, Intelligence Analysis and Strategy at Proofpoint, and our own Dave Bittner the first Tuesday of each month on your favorite podcast app with new episodes of Only Malware. Selected Reading Major cyberattack hits St. Paul, shuts down many services (Star Tribune) French telecom giant Orange discloses cyberattack (Bleeping Computer) Power Outage at Newark Data Center Disrupts Linode, Took LWN Offline (FOSS Force) Critical authentication bypass flaw reported in AI coding platform Base44 (Beyond Machines) A major AI training data set contains millions of examples of personal data (MIT Technology Review) Dating safety app Tea suspends messaging after hack (BBC) Hackers exploit SAP NetWeaver bug to deploy Linux Auto-Color malware (Bleeping Computer) CISA and FBI Release Tactics, Techniques, and Procedures of the Scattered Spider Hacker Group (gb hackers) Florida prison data breach exposes visitors' contact information to inmates (Florida Phoenix) CISA to release long-buried US telco security report (The Register) Audience Survey Complete our annual audience survey before August 31. Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at cyberwire@n2k.com to request more info. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

//The Wire//2300Z July 25, 2025////ROUTINE////BLUF: "DATING" APP DATA BREACH HIGHLIGHTS NATIONAL SECURITY CONCERNS.// -----BEGIN TEARLINE------HomeFront-USA: This morning a major PII leak was exploited on the Tea app, the infamous app that has gained notoriety around the United States. This data leak was not a hack by any means; the selfie ID feature and driver's license images used to register users were stored unencrypted on the app's servers for anyone on the internet to see. Furthermore, the location data was not scrubbed from the images, so the exact GPS coordinate of each user was also leaked, with tens of thousands of users' private location data being leaked online.-----END TEARLINE-----Analyst Comments: This app gained infamy as it's entire purpose is to serve as a "Yelp" for women to rate men, and to allow women to secretly share personal information regarding prospective dates, all without men being allowed to either face their accusers or even know that they are being gossiped about (thus the name of the app being a slang term that serves as a synonym for "gossip"). Most importantly, the app uses facial recognition to prevent biological males from obtaining an account. Beyond the unfortunate origins of the app and the equally unfortunate data leak, examination of the data that was leaked is likely to cause exceptionally grave risks to national security. The "gossipy" nature of this story doesn't matter, a bunch of unflattering selfies doesn't matter either; what does matter is that this may have inadvertently revealed significant national security concerns.For instance, preliminary analysis of the datasets indicates that many users of the Tea app downloaded the app, took a selfie, and registered for an account while at work. In some cases, at government facilities or on military bases...such as the rather unfortunate individual who decided it was a good idea to register for this app while stationed at Marine Corps Base Quantico. Or the person who felt that they needed to use this app while on a gunnery range at the Aberdeen Proving Grounds. So far, other interesting sites located via personnel taking a selfie to register for this app at work include the following locations:- An ammunition storage bunker at Naval Weapons Station Earle in New Jersey.- The legislative offices at the Connecticut State Capitol building.- One of the headquarters buildings at Minot Air Force Base.- A maintenance site on the airfield at Eglin Air Force Base.- Alumni Hall at the US Naval Academy in Annapolis.- And the off-base housing complexes at nearly every single military base in the United States.Of course, these data points only encompass the GPS coordinates that were embedded in the metadata of the selfies taken when users created an account on the app, so the data that was leaked is merely a snapshot of wherever a person was when they registered an account. Most of the GPS points presented in this data were very precise, pinpointing users within a diameter of 36ft or so on average. GPS errors are also likely to throw off this dataset, so it's probable that quite a few data points are inaccurate. However, most of the data (as leaked) is good enough for nationstate-level malign actors to have a field day when it comes to espionage. A person who is unhappy with the person they are in a relationship with, who is also willing to submit their full legal name and street address (or GPS location) makes for a prime espionage target when this data is cross-referenced with other data. It takes exactly two clicks to import the leaked data to a map, and overlay that map with known sensitive military sites around the nation...perhaps in the process finding a few new locations as well. It is also easy to cross-reference this data with property ownership documents to find out how many people took a selfie at a different ad

Donata Stroink-Skillrud is an attorney licensed in Illinois, a Certified Information Privacy Professional, and President of Termageddon, a SaaS platform transforming how eCommerce businesses handle legal compliance. Built at the intersection of privacy law expertise and technology, Termageddon helps online businesses stay compliant with ever-changing privacy regulations, without needing a legal team.After years of working directly with contract law, consumer protection, and international privacy regulations, Donata saw firsthand how fragmented, outdated, and risky privacy compliance had become for Ecommerce websites. What started as manual legal work soon evolved into an automated solution that identifies which privacy laws apply to a business and generates up-to-date, accurate website policies in minutes—not weeks.Donata brings a legal insider's perspective to the realities of online selling, breaking down complex regulations into practical steps for founders. From helping brands avoid FTC fines on subscription renewals, to clarifying why state privacy laws apply to your store, Donata explains the hidden legal pitfalls that quietly erode Ecommerce growth and how to protect against them.Whether sharing how generic privacy templates leave stores exposed, why recurring billing pages are the newest legal battleground, or how to future-proof your policies against incoming U.S. state laws, Donata delivers a tactical, no-nonsense playbook for reducing legal risk and building customer trust.In This Conversation We Discuss: [00:42] Intro[01:04] Breaking down contract laws for entrepreneurs[02:02] Explaining why Shopify won't cover your compliance[03:57] Breaking down real costs of ignoring privacy laws[06:53] Clarifying why location won't shield your store[08:10] Highlighting false refund claims that trigger fines[11:54] Identifying which privacy laws apply to you[13:36] Turning repetitive legal work into automation[14:55] Updating policies before laws take effect[16:29] Receiving automatic updates without extra effort[17:15] Saving weeks of legal work with automation[18:12] Staying compliant as privacy laws keep changingResources:Subscribe to Honest Ecommerce on YoutubeProtects business from fines and lawsuits termageddon.com/Follow Donata Stroink-Skillrud linkedin.com/in/donata-stroink-skillrudIf you're enjoying the show, we'd love it if you left Honest Ecommerce a review on Apple Podcasts. It makes a huge impact on the success of the podcast, and we love reading every one of your reviews!

In the security news: The train is leaving the station, or is it? The hypervisor will protect you, maybe The best thing about Flippers are the clones Also, the Flipper Zero as an interrogation tool Threats are commercial and open-source Who is still down with FTP? AI bug hunters Firmware for Russian drones Merging Android and ChromOS Protecting your assets with CVSS? Patch Citrixbleed 2 Rowhammer comes to NVIDIA GPUs I hear Microsoft hires Chinese spies Gigabyte motherboards and UEFI vulnerabilities McDonald's AI hiring bot: you want some PII with that? Visit https://www.securityweekly.com/psw for all the latest episodes! Show Notes: https://securityweekly.com/psw-883