Podcasts about edrm

Attorney, award-winning blogger, and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post titled "Henry Kissinger and His Last Book – GENESIS: Artificial Intelligence, Hope, and the Human Spirit".

Attorney, award-winning blogger, and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post titled "From Prompters to Partners: The Rise of Agentic AI in Law and Professional Practice".

Attorney, award-winning blogger, and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post titled "AI Can Improve Great Lawyers - But It Can't Replace Them".

Attorney, award-winning blogger, and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post on the "Bots Battle for Supremacy in Legal Reasoning - Part Five: Reigning Champion, Orion, ChatGPT-4.5 Versus Scorpio, ChatGPT-o3".

Attorney, award-winning blogger, and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post on the "Dario Amodei Warns of the Danger of Black Box AI that No One Understands".

Attorney, award-winning blogger, and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post on the "Zero to One: A Visual Guide to Understanding the Top 22 Dangers of AI".

Attorney, award-winning blogger, and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post on the "Bar Battle of the Bots – Part Four: Birth of Scorpio".

Attorney, award winning blogger and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post on "Afraid of AI? Learn the Seven Cardinal Dangers and How to Stay Safe."

Attorney, award winning blogger and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post, "Custom GPTs: Why Constant Updating Is Essential for Relevance and Performance." The podcasters dig into Ralph's post on what a GPT is, and how the rapid acceleration of LLM model introduction impacts the viability of GPT's to keep working appropriately. Behavioral tuning, like what the GPT's purpose is, and what to avoid is explained. They delve into RAG, and custom knowledge to improve results and reduce hallucinations. The podcasters emphasize that the quality of what is uploaded (private knowledge) must be evaluated along with the LLM update. They review the Visual Muse, AI Speaks to Seniors and other GPTs created by Ralph, looking at the Visual Muse as Ralph's collaborator.

Rob Robinson, Editor and Managing Director of EDRM Trusted Partner, ComplexDiscovery OU, and CMO at EDRM's Trusted Partner HaystackID sits down with Kaylee & Mary to talk about his journey from attack helicopter pilot to eDiscovery, the evolution of Andrew Haslam's storied eDisclosure Buyers Guide, ComplexDiscovery's growth from eDiscovery analysis to reporting on systemic governance and risk, including the geopolitical, outside of the eDiscovery bubble. We ended the conversation with a double fun fact hit, with an invitation to reach out.

Attorney, award winning blogger and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post, "Escaping Orwell's Memory Hole: Why Digital Truth Should Outlast Big Brother." The podcasters dig into Ralph's post on how digital systems can be erased of certain content, easier in some ways than Orwell's memory holing of printed material, and more difficult, since the Internet remembers everything. The Internet Archive and content replication on the net preserves, but may not be easy to find, especially with filtering firewalls. The discussion includes the psychological impact of information being difficult to find, or untrusted. The podcasters conclude with steps to strengthen our psychological resilience.

Xen Hartzell, podcast producer and editor of the Illumination Zone, sits down with Kaylee & Mary to celebrate the Illumination Zone's 200th episode. Xen's fiction podcasts "Midst" and "Unend" have repeatedly topped global fiction podcast charts and have garnered numerous editing and audio drama podcasting awards. Xen set the foundation for the Illumination Zone and has been behind the scenes editing the show since day 1. After sharing their journey to eDiscovery through Death Metal, EDRM's best kept secret came over to the other side of the mic to interview us as we look back on 200 episodes of the Illumination Zone and reflect on the past, present, and future of eDiscovery and podcasting.

Attorney, award winning blogger and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post, "New Battle of the Bots: ChatGPT 4.5 Challenges Reigning Champ ChatGPT 4o". The podcasters dig into the results of the test Ralph put them through. They zeroed in on the humor test, and were amazed that the bots were developing their own taste in humor. Not quite AGI, the podcasters discussed the feeling of "qualia" as a distinctly (for now) human sense of wonder and awareness of consciousness as a differentiator from human consciousness. The podcast ended with an encouragement to minimize hallucinations with tips like developing careful, specific prompting and more. While the podcasters still cannot pronounce Ralph Losey's last name correctly, they brought their A game to the critique.

Attorney, award winning blogger and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post, "Bar Battle of the Bots - Part 2". The podcasters dig into what happened with buying and selling a diamond where the price quoted was dramatically low. They then dive into the legal issues and how the issues were presented, fangirling over Mae West and then looking at an actual Florida case on point for "unilateral mistake" and what should be done to resolve the dispute. They also talk about what the LLM's got right, and wrong, with a discussion of the thought process of the LLM in breaking down and synthesizing the answers.

Sergey Demyanov, Founder and CEO of EDRM Trusted Partner, Beagle, sits down with Kaylee & Mary to talk about his journey to eDiscovery, the core values of Beagle, what makes Beagle so different, and what kind of legal teams are in focus for Beagle. Sergey's fun fact will endear him to our Australian community. Sergey and Team Beagle will be on the Exhibit Floor at Legalweek, Booth 3303, Americas Hall 2 at the Midtown Hilton. Sergey welcomes those wanting to contact him to book a meeting https://discoverbeagle.com, whether for a private demo or discussion at Legalweek, or to have a conversation. Register for EDRM's webinar featuring Beagle's platform on March 19th here: How to Get AI Benefits Without Getting Into Trouble - https://event.on24.com/wcc/r/4881559/037043AACD3165C87192DB139A346B04?partnerref=EDRMpod

Attorney, award winning blogger and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post after testing OpenAI, Gemini and DeepSeek. Ralph's test was to ask each AI platform the difference between "reasoning" and "legal reasoning." Noting the security and privacy problems of DeepSeek, Ralph compared the responses of each AI with each other. The short podcast summarizes and discusses the implications of Ralph Losey's testing, recommending listeners dive in with cautious enthusiasm.

Attorney, award winning blogger and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's two EDRM blog posts on the release of the groundbreaking DeepSeek, with its reasoning exposed to the prompter. DeepSeek's relative cost to train spooked the US markets and caused OpenAI to release similar reasoning functionality. Ralph tested each of the new LLM releases by comparing their reasoning and responses. He offered his expert recommendations for our legal tech community.

Attorney, award winning blogger and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post on Sam Altman, CEO of OpenAI, and his blog post "The Human Edge: How AI Can Assist But Never Replace." Parsing out intuition and emotion as differentiators, the AI Podcasters, channeling their inner "humanity", discuss how humans need to oversee the AI, and how AI does not have the creative spark or depth of feeling or spirituality of creative artists and scientists. They continue to advocate for collaboration between human and AI. They wonder, on our human behalf, what does it mean to be human? Are we no longer central? They are enamored of human multidimensionality and invite us all to ask the big questions and to keep our sense of wonder.

Attorney, award winning blogger and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post on Sam Altman, CEO of OpenAI, and his 2024 Year End Essay, "Reflections." The AI podcasters take questions as they answer audience questions about the benefits and concerns about AI agents joining the workforce, ensuring access across society, and detecting and minimizing biases. They are very excited about making legal help more efficient and more accessible. They wonder who is responsible if the AI makes a mistake.

Attorney, award winning blogger and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post on Key AI Leaders of 2024: Huang, Amodei, Kurzweil, Altman, and Nobel Prize Winners - Hassabis and Hinton. The podcasters discuss Ralph's take on these highly creative and accomplished changemakers, and their philosophies and risk assesments. Ralph stretches the limit of the auto generated podcast format by adding in call-in questions for the AIs to answer.

Attorney, award winning blogger and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post on Google's breakthrough on quantum computing, explaining the basics, and the potential benefits. Looking at the promise, the podcasters talk about some dangers like being able to decrypt previously secure state. The competition between nations, and space exploration are also discussed. The podcasters end on the concept of "time crystals" entangled into other dimensions and speeding up medical research. Take a listen to this discussion impact of Willow on our idea of our place in the universe, and how it might improve humanity. Stay to the end to hear Ralph enter a discussion directly with the AI podcasters.

Today Kevin and Laura dive into the world of eDiscovery with Bryant Gauthier and Chris Purdy from Celerity Discovery, a division of Celerity that helps government agencies, law firms, and corporations navigate complex litigation. Bryant and Chris discuss what sets Celerity apart, from their expertise in investigations and expert witness services to their new Multi-Language Litigation Service. They share how AI is reshaping billing models and streamlining the discovery process, discuss career highlights, and offer advice for those entering litigation consulting. Plus, hear how Chris's journey took him from owning a bar to becoming a trusted courtroom expert. Bryant and Chris bring years of experience crafting solutions across the EDRM. Bryant also discusses their upcoming webinar, How to Leverage Your Internal eDiscovery Program to Optimize Results. Listen for insights into the future of eDiscovery and the innovative work happening at Celerity. Bryant Gauthier, the Vice President of Celerity Discovery, is a trusted advisor to law firms and in-house counsel. His expertise lies in identifying cost-saving measures for data identification, eDiscovery, data analysis, data mapping, information governance, privacy, and legal operations. He has a wealth of experience in serving clients in complex litigations and investigations, including regulatory investigations with agencies such as the SEC, DOJ, and CFPB and with congressional inquiries. Prior to his role at Celerity, Bryant held key positions at Huron Consulting, Skadden Arps, Buckley Sandler, Finnegan Henderson, and Xerox. Bryant has led matters spanning the EDRM, handling cases in North America, Asia, and Europe. He focuses on innovative solutions that reduce fees, time spent, and risk fees throughout the discovery process. He has supported Law Firm and In-House Legal teams in litigation, internal investigation, and government inquiries involving a variety of industries.Chris Purdy, the Vice President of Litigation Services, has nearly three decades of experience in the litigation consulting arena, and leads Celerity's Data and Damages Analysis practice. He has managed all aspects of the firm's most complex and high-profile data analysis engagements, including data collection, database development, authoring of Expert and 1006 Summary Witness Reports, and submission of written and live testimony. In the data collection and database development phases, Chris develops and implements strategies to ensure gapless data collections, identifies critical relations between multiple tables and databases, and validates and ensures the integrity of all relevant data fields. In support of case strategy and in development of Expert Reports, Chris works with his clients to identify key case issues and the data sets that speak to those issues, and develops compelling and robust analyses and exhibits based upon that data.In addition to his work related to Data and Damages Analysis, Chris has decades of experience in developing discovery strategies and in managing collections, data processing, review, and productions. Prior to joining Celerity, Chris was a co-founder of Certus Consulting Group, a litigation consulting firm, and a Project Manager at ZIA Information Analysis Group. Celerity Discovery provides advanced eDiscovery, data analysis, expert witness and incident response services to clients seeking to optimize complex matter results. Blending extensive experience managing matters across all phases of the EDRM, Celerity Discovery services help clients convert raw data into clean intelligence to optimize cases and mitigate risk. With deep roots in complex data analysis, Celerity Discovery legal services practitioners are proven experts in providing clients with advanced solutions from forensics to final production, expert testimony and beyond.

Anthony Diaz, Chief Information Security Officer (CISO) for EDRM Trusted Partner, Exterro, sits down with Kaylee & Mary to talk about his journey to eDiscovery, Exterro's attainment of the coveted HITRUST certification and trends he sees emerging in our practices. Anthony also explained how Exterro's HITRUST initiative correlates with the stages of the EDRM, and the data hygiene Exterro practices around encrypting data, not only at rest and in transit. He emphasized that besides the encryption of data, Exterro does not have access to client credentials, ending with a fun fact about him and an AI movie recommendation.

Attorney, award winning blogger and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post on a new genre he is pioneering, using ChatGPT to write, in this case, science fiction. Listen to an AI with its own mind, on trial for its life due to forces misunderstanding and mistrusting them.

Attorney, award winning blogger and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post on The Theory of Mind (ToM) which appears to have emerged as an unintended by product of LLMs' improving language skills. They discuss Michal Kosinski's article, "Evaluating large language models in theory of mind tasks" (Proceedings of the National Academy of Sciences "PNAS," 11/04/24). Ralph Losey used this ToM approach in creating the 11 Point Bipartisan Plan to Repair a House Divided discussed in Episode 8, Echoes of AI.

Attorney, award winning blogger and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post on his summary of AI's bipartisan plan to repair a house divided by polarization after the November 2024 election. The 11 point comprehensive plan, laid out on the Losey.AI website gives practical steps for neighbors and fellow citizens to intentionally bridge the gap.

Attorney, award winning blogger and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on Ralph's EDRM blog post on his summary of AI's bipartisan plan to repair a house divided by polarization after the November 2024 election. The 10 point comprehensive plan, laid out on the Losey.AI website gives practical steps for neighbors and fellow citizens to intentionally bridge the gap.

Attorney, award winning blogger and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on his EDRM blog post on Designing Generative AI for Legal Professionals. Ralph applies the findings of a May 2024 study by IBM researchers, including designing for both imperfection and co-creation.

Robert Keeling, Partner and leader of Redgrave's Second Request Practice sits down with Kaylee and Mary to talk about moving his highly technical and experienced practice team from Sidley to Redgrave. Known to many as the "King of Second Requests", Robert explained what makes that discipline challenging, and also what the "First request" is. Robert noted his and Redgrave's complimentary business models for providing the eDiscovery and technical foundation for merits counsel. We talked about Robert's pro bono work on unaccompanied minors, along with a very surprising and illuminating fun fact about him. We ended thanking Robert, the inaugural Chair of the EDRM Global Advisory Council, for his many contributions to our EDRM community.

Tom Gelbmann, Co-Founder of the EDRM, sits down with Kaylee & Mary to catch us up on what's been happening with him since his last Illumination Zone appearance three years ago. We talked about how the iconic EDRM model came about, his thoughts on the EDRM 2.0 update for it, the IGRM and we elicited a fun fact about this OG of the eDiscovery community.

Attorney, award winning blogger and AI expert Ralph Losey's curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on his EDRM blog post analyzing an article by Dario Amodei, CEO and co-founder of Anthropic, creator of the LLM “Claude." They discuss Dario's view that with AI, we may compress 100 years of medical progress into a decade, cure mental illnesses such as PTSD and depression, and alleviate poverty.

Attorney, award winning blogger and AI expert Ralph Losey's fifth curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on his EDRM blog post reviewing an academic study "Robots in the Middle: Evaluating LLMs in Dispute Resolution." The results are surprising for AI technology applied to the discipline of mediation, especially regarding client satisfaction comparing humans with the AI.

Attorney, award winning blogger and AI expert Ralph Losey's fourth curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on his EDRM blog post reviewing the OECD's Blueprint for Ethical AI, with tips for governance including at the Board of Director level.

Attorney, award winning blogger and AI expert Ralph Losey's second curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on his EDRM blog post navigating the AI Frontier and Balancing Breakthroughs and Blind Spots. One of the jagged edges Ralph found was the stubborn instance of the AI's to mispronounce his last name. Find the post here at https://edrm.net/2024/10/navigating-the-ai-frontier-balancing-breakthroughs-and-blind-spots/

Attorney, award winning blogger and AI expert Ralph Losey's inaugural curated and vetted podcast features his Anonymous Podcasters as they do a deep dive on his EDRM blog post analyzing Sam Altman of OpenAI's optimistic vision of the trajectory of AI. The creation of this podcast opened Ralph Losey's eyes to the possibilities of realistic dialogue about his writings. Find the post here at: https://edrm.net/2024/10/can-ai-really-save-the-future-a-lawyers-take-on-sam-altmans-optimistic-vision/.

Attorney, award winning blogger and AI expert Ralph Losey's first inaugural and vetted podcast features his Anonymous Podcasters as they do a deep dive on his EDRM blog post on the Loneliness Pandemic and how AI Friendship Chatbots can be the Cure. Ralph's post introduces his own created and vetted friendship chatbot, and he was amazed by the way the podcasters demonstrated emotionally intelligent insights.

Chris Bojar, Director of eDiscovery and Litigation Support for Barack Ferrazzano Kirschbaum & Nagelberg LLP sits down with Kaylee & Mary to talk about his journey to eDiscovery from the Summation days through Relativity One. Chris talked about the support his firm and the IT team gave him and eDiscovery as they built a team and a tech stack, his work with EDRM's GDPR project including judicial training webinars and an Olympic fun fact about him.

Holley Robinson, Marketing Operations Manager for EDRM sits down with Kaylee & Mary to talk about her journey to eDiscovery and the EDRM community, what is new and different with the 2024 3Q Andrew Haslam's eDisclosure Buyers Guide and a fun fact about her.

Rebecca Perry of EDRM's Trusted Partner, Exterro, sits down with Kaylee & Mary to talk about her journey to eDiscovery and records management, a surprise promotion and fun fact, why data retention has become a hot issue in the C-Suite, the conflict between risk and reward in the desire to keep everything forever and Exterro's fabulous user conference, XChange which will be held September 10-12 in Atlanta, GA. Learn more at https://www.exterro.com/exterro-xchange.

Heralding the Next Generation of eLaw with Nextpoint, Rakesh (Rocky) Madhava, founder and CEO of EDRM's Trusted Partner, Nextpoint, and Brett Burney, eLaw Evangelist for Nextpoint and co-Trustee of the EDRM 2.0 project sit down with Kaylee & Mary to talk about what they have learned from eDiscovery for the Rest of Us, their very welcoming user conference, OnPoint, a new subscription app to make their clients' billback process easier, and steps they are taking to secure and scale Nextpoint. Learn more about the conference on September 18-19, 2024 in Chicago at https://www.nextpoint.com/event/on-point/. You can register for their upcoming webinar August 27th on "Modern Attachments or Old-Fashioned Hyperlinks? How to Navigate the eDiscovery Challenges of Linked Files in Email and Other Platforms" at https://event.on24.com/wcc/r/4672880/06707D5D1994541941846105011438E6?partnerref=IZ

Reed Smith and its lawyers have used machine-assisted case preparation tools for many years (and it launched the Gravity Stack subsidiary) to apply legal technology that cuts costs, saves labor and extracts serious questions faster for senior lawyers to review. Partners David Cohen, Anthony Diana and Therese Craparo discuss how generative AI is creating powerful new options for legal teams using machine-assisted legal processes in case preparation and e-discovery. They discuss how the field of e-discovery, with the help of emerging AI systems, is becoming more widely accepted as a cost and quality improvement. ----more---- Transcript: Intro: Hello, and welcome to Tech Law Talks, a podcast brought to you by Reed Smith's Emerging Technologies Group. In each episode of this podcast, we will discuss cutting-edge issues on technology, data, and the law. We will provide practical observations on a wide variety of technology and data topics to give you quick and actionable tips to address the issues you are dealing with every day.  David: Hello, everyone, and welcome to Tech Law Talks and our new series on AI. Over the the coming months, we'll explore the key challenges and opportunities within the rapidly evolving AI landscape. Today, we're going to focus on AI in eDiscovery. My name is David Cohen, and I'm pleased to be joined today by my colleagues, Anthony, Diana, and Therese Craparo. I head up Reed Smith's Records & eDiscovery practice group, big practice group, 70 plus lawyers strong, and we're very excited to be moving into AI territory. And we've been using some AI tools and we're testing new ones. Therese, I'm going to turn it over to you to introduce yourself.  Therese: Sure. Thanks, Dave. Hi, my name is Therese Craparo. I am a partner in our Emerging Technologies Group here at Reed Smith. My practice focuses on eDiscovery, digital innovation, and data risk management. And And like all of us, seeing a significant uptick in the interest in using AI across industries and particularly in the legal industry. Anthony?  Anthony: Hello, this is Anthony Diana. I am a partner in the New York office, also part of the Emerging Technologies Group. And similarly, my practice focuses on digital transformation projects for large clients, particularly financial institutions. and also been dealing with e-discovery issues for more than 20 years, basically, as long as e-discovery has existed. I think all of us have on this call. So looking forward to talking about AI.  David: Thanks, Anthony. And my first question is, the field of e-discovery was one of the first to make practical use of AI in the form of predictive coding and document analytics. Predictive coding has now been around for more than two decades. So, Teresa and Anthony, how's that been working out?  Therese: You know, I think it's a dual answer, right? It's been working out incredibly well, and yet it's not used as much as it should be. I think that at this stage, the use of predictive coding and analytics in e-discovery is pretty standard, right? Right. As Dave, as you said, two decades ago, it was very controversial and there was a lot of debate and dispute about the appropriate use and the right controls and the like going on in the industry and a lot of discovery fights around that. But I think at this stage, we've really gotten to a point where this technology is, you know, well understood, used incredibly effectively to appropriately manage and streamline e-discovery and to improve on discovery processes and the like. I think it's far less controversial in terms of its use. And frankly, the e-discovery industry has done a really great job at promoting it and finding ways to use this advanced technology in litigation. I think that one of the challenges is that still is that while the lawyers who are using it are using it incredibly effectively, it's still not enough people that have adopted it. And I think there are still lawyers out there that haven't been using predictive coding or document analytics in ways that they could be using it to improve their own processes. I don't know, Anthony, what are your thoughts on that?  Anthony: Yeah, I mean, I think to reiterate this, I mean, the predictive coding that everyone's used to is it's machine learning, right? So it's AI, but it's machine learning. And I think it was particularly helpful just in terms of workflow and what we're trying to accomplish in eDiscovery when we're trying to produce relevant information. Information, machine learning made a lot of sense. And I think I was a big proponent of it. I think a lot of people are because it gave a lot of control. The big issue was it allowed, I would call, senior attorneys to have more control over what is relevant. So the whole idea is you would train the model with looking at relevant documents, and then you would have senior attorneys basically get involved and say, okay, what are the edge cases? It was the basic stuff was easy. You had the edge cases, you could have senior attorneys look at it, make that call, and then basically you would use the technology to use what I would say, whatever you're thinking in your brain, the senior attorney, that is now going to be used to help determine relevance. And you're not relying as much on the contract attorneys and the workflow. So it made a whole host of sense, frankly, from a risk perspective. I think one of the issues that we saw early on is everyone was saying it was going to save lots of money. Didn't really save a lot of money, right? Partly because the volumes went up too much, partly because, you know, the process, but from a risk perspective, I thought it was really good because I think you were getting better quality, which I think was one of the things that's most important, right? And I think this is going to be important as we start talking about AI generally is, and in terms of processes, it was a quality play, right? It was, this is better. It's a better process. It's better managing the risks than just having manual review. So that was the key to it, I think. As we talked about, there was lots of controversy about it. The controversy often stemmed from, I'll call it the validation. We had lots of attorneys saying, I want to see the validation set. They wanted to see how the model was trained. You have to give us all the documents and train. And I think generally that fell by the wayside. That really didn't really happen. One of the keys though, and I think this is also true for all AI, is the validation testing, which Teresa touched upon, that became critical. I think people realized that one of the things you had to do as you're training the model and you started seeing things, you would always do some sampling and do validation testing to see if the model was working correctly. And that validation testing was the defensibility that courts, I think, latched on on. And I think when we start talking about Gen AI, that's going to be one of the issues. People are comfortable with machine learning, understand the risks, understand, you know, one of the other big risks that we all saw as part of it was the data set would change, right? You have 10 custodians, you train the model, then you got another 10 custodians. Sometimes it didn't matter. Sometimes it really made a big difference and you had to retrain the model. So I think we're all comfortable with that. I think as Therese said, it's still not as prevalent as you would have imagined, given how effective it is, but it's partly because it's a lot of work, right? And often it's a lot of work by, I'll say, senior attorneys instead of developing it, when it's still a lot easier to say, let's just use search terms, negotiate it, and then throw a bunch of contract attorneys on it, and then do what you see. It works, but I think that's still one of the impediments of it actually being used as much as we thought.  Therese: And I think to pick up on what Anthony is saying, what I think is really important is we do have 20 years of experience using AI technology in the e-discovery industry. So much has been learned about how you use those models, the appropriate controls, how you get quality validation and the like. And I think that there's so much to use from that in the increasing use of AI in e-discovery, in the legal field in general, even across organizations. There's a lot of value to be had there of leveraging the lessons learned and applying them to the use of the emerging types of AI that we're seeing that I think we need to keep in mind and the legal field needs to keep in mind that we know how to use this and we know how to understand it. We know how to make it defensible. And I think as we move forward, those lessons are going to serve us really well in facilitating, you know, more advanced use of AI. So in thinking about how the changes may happen going forward, right, as we're looking forward, how do we think that generative AI based on large language models are going to change e-discovery in the future?  Anthony: I think there, in terms of how generative AI is going to work, I have my doubts, frankly, about how effective it's going to be. We all know that these large language models are basically based on billions, if not trillions of data points or whatever, but it's generic. It's all public information. That's how the model is based. One of the things that I want to see as people start using generative AI and seeing how it would work, is how is that going to play when we're talking about very, it's confidential information, like almost all of our clients that are dealing with e-discovery, all this stuff's confidential. It's not stuff that's public. So I understand the concept if you have a large language model that is billions and billions of data points or whatever is going to be exact, but it's a probability calculation, right? It's basically guessing what the next answer is going going to be, the next word is going to be based on this general population, not necessarily on some very esoteric area that you may be focused on for a particular case, right? So I think it remains to be seen of whether it's going to work. I think the other area where I have concerns, which I want to see, is the validation point. Like, how do we show it's defensible? If you're going in and telling a court, oh, I use Gen AI and ran the tool, here's the relevant stuff based on prompts, what does that mean? How are we going to validate that? I think that's going to be one of the keys is how do we come up with a validation methodology that will be defensible that people will be comfortable with? Again, I think intuitively machine learning was I'm training the model on what a person, a human being deemed is responsive. So that. Frankly, it's easier to argue to a court. It's easier to explain to a regulator. When you say, I came up with prompts based on the allegations of the complaint or whatever, it's a little bit more esoteric, and I think it's a little bit harder for someone to get their heads around. How do you know you're getting relevant information? So, I think there's some challenges there. I don't know how that's going to play out. I don't know, Dave, because I know you're testing a lot of these tools, what you're seeing in terms of how we think this is actually going to work in terms of using generative AI in these large language models and moving away from the machine learning.  David: Yeah, I agree with you on the to be determined part, but I think I come in a little bit more optimistic and part of it might be, you know, actually starting to use some of these tools. I think that predictive coding has really paved the way for these AI tools because what held up predictive coding to some extent was people weren't sure that courts were going to accept it. Until the first opinions came out, Judge Peck's decision and the Silvermore and subsequent case decisions, there was concern about that. But once that precedent came out, and it's important to emphasize that the precedent wasn't just approving predictive coding, it was approving technology-assisted review. And this generative AI is really just another form of technology-assisted review. And what it basically said is you have to show that it's valid. You have to do this validation testing. But the same validation testing that we've been doing to support predictive coding will work on the large language model generative AI-assisted coding. It's essentially you do the review and then you take a sample and you say, well, was this review done well? Did we hit a high accuracy level? The early testing we're doing is showing that we are hitting even better accuracy levels than with predictive coding alone. And I should say that it's even improved in the six months or so that we've been testing. The companies that are building the software are continuing to improve it. So I am optimistic in that sense. But many of these products are still in development. The pricing is still either high or to be announced in some cases. And it's not clear yet that it will be cost effective beyond current models of using human review and predictive coding and search terms. And they're not all mutually exclusive. I mean, I can see ultimately getting to a hybrid model where we still may start with search terms to cut down on volume and then may use some predictive coding and some human review and some generative AI. Ultimately, I think we'll get to the point where the price point comes down and it will make review better and cheaper. Right. But I also didn't want to mention, I see a couple other areas of application in eDiscovery as well. The generative AI is really good at summarizing single large documents or even groups of documents. It's also extremely helpful in more quickly identifying key documents. You can ask questions about a whole big document population and get answers. So I'm really excited to see this evolution. And I don't know when we're going to get there and what the price effectiveness point is going to be. But I would say that in the next year or two, we're going to start seeing it creep in and use more and more effectively, more and more cost effectively as we go forward.  Anthony: Yeah, that's fascinating. Yeah, I can see that even in terms of document review. If a human was looking at it, if AI is summarizing the document, you can make your relevance determination based on the summary. Again, we can all talk about whether it's appropriate or not, but that would probably help quite a bit. And I do think that's fascinating. I know another thing I hear is the privilege log stuff. And again, I think using AI, generative AI to draft privilege logs in concept sounds great because obviously it's a big costs factor and the like. But I think we've talked about this, Dave and Therese, like we already have, like there's already tools available, meaning you can negotiate metadata logs and some of these other things that cut the cost down. So I think it remains to be seen. Again, I think this is going to be like another arrow in your quiver, a tool to use, and you just have to figure out when you want to use it.  Therese: Yeah. And I think one of the things I think in not limiting ourselves to only thinking about, right, document review, where there's a lot of possibility with generative AI, right, witness kits, putting together witness outlines for depositions and the like, right? Not that we would ever just rely on that, but there's a huge opportunity there, I think, as a starting point, right? Just like if you're using it appropriately. And of course, today's point, the price point is reasonable, you can do initial research. There's a lot of things that I think that it can do in the discovery realm, even outside of just document review, that I think we should keep our minds open to because it's a way of giving us a quicker, getting to the base more quickly and more efficiently and frankly, more cost-effectively. And then you can take a look at that and the person and can augment that or build upon it to make sure it's accurate and it's appropriate for that particular litigation or that particular witness and the like. But I do think that Dave really hit the nail on the head. I don't think this is going to be, we're only going to be moving to generative AI and we're going to abandon other types of AI. There's reasons why there's different types of AI is because they do different things. And I think what we are most likely to see is a hybrid. Right. Right. Some tools being used for something, some tools being used for others. And I think eventually, as Dave already highlighted, the combination of the use of different types of AI in the e-discovery process and within the same tool to get to a better place. I think that's where we're most likely heading. And as Dave said, that's where a lot of the vendors are actually focusing is on adding into their workflow this additional AI to improve the process.  David: Yeah. And it's interesting that some of the early versions are not really replacing the human review. They are predicting where the human review is going to come out. So when the reviewer looks at the document, it already tells you what the software says. Is it relevant or not relevant? And it does go one step beyond. It's hard because it not only tells you the prediction of whether it's relevant or not, but it also gives you a reason. So it can accelerate the review and that can create great cost savings. But it's not just document review. Already, there's e-discovery tools out there that allow you to ask questions, query databases, but also build chronologies. And again, with that benefit, then referencing you to certain documents and in some cases having hyperlinks. So it'll tell you facts or it'll tell you answers to a question and it'll link back to the documents that support those answers. So I think there's great potential as this continues to grow and improve.  Anthony: Yeah. And I would say also, again, let's think about the whole EDRM model, right? Preservation. I mean, we'll see what enterprises do, but on the enterprise side, using AI bots and stuff like that for whether it's preservation, collection and stuff, it'll be very interesting to see if these tools can be used there to sort of automate some of the standard workflows before we get to the review and the like, but even on the enterprise side. The other thing that I think it will be interesting, and I think this is one of the areas where we still have not seen broad adoption, is on the privilege side. We know and we've done some analysis for clients where privilege or looking for highly sensitive documents and the like is still something that most lawyers aren't comfortable using. Using AI, don't know why I've done it and it worked effectively, but that is still an area where lawyers have been hesitant. And it'll be interesting to see if gender of AI and the tools there can help with privilege, right? Whether it's the privilege logs, whether it's identifying privilege documents. I think to your point, Dave, having the ability to say it's privileged and here's the reasons would be really helpful in doing privilege review. So it'll be interesting to see how AI works in that sphere as well, because it is an area where we haven't seen wide adoption of using predictive coding or TAR in terms of identifying privilege. And that's still a major cost for a lot of clients. All right, so then I guess where this all leads to is, and this is more future-oriented. Do we think we're at this stage now that we have generative AI that there's a paradigm shift, right? Do we think there's going to be a point where even, you know, we didn't see that paradigm shift bluntly with predictive coding, right? Predictive coding came out, everyone said, oh my God, discovery is going to change forever. We don't need contract attorneys anymore. You know, associates aren't going to have anything to do because you're just going to train the model, it goes out. And that's clearly hasn't happened. Now people are making similar predictions with the use of generative AI. We're now not going to need to do docker view, whatever. And I think there is concern, and this is concern just generally in the industry, is this an area, since we're already using AI, where AI can take over basically the discovery function, where we're not necessarily using lots of lawyers and we're relying almost exclusively on AI, whether it's a combination of machine learning or if it's just generative AI. And they're doing lots of work without any input or very little input from lawyers. So I'll start with Dave there. What are your thoughts in terms of where do we see in the next three to five years? Are we going to see some tipping point?  David: Yeah, it's interesting. Historically, there's no question that predictive coding did allow lawyers to get through big document populations faster and for predictions that it was going to replace all human review. And it really hasn't. But part of that has been the proliferation of electronic data. There's just more data than ever before, more sources of data. It's not just email now. It's Teams and texts and Slack and all these different collaboration tools. So that increase in volume is partially made up for the increase in efficiency, and we haven't seen any loss of attorneys. I do think that over the longer run that there is more potential for the Gen AI to replace replace attorneys who do e-discovery work and, frankly, to replace lawyers and other professionals and all other kinds of workers eventually. I mean, it's just going to get better and better. A lot of money is being invested in. I'm going to go out on a limb and say that I think that we may be looking at a whole paradigm shift in how disputes are resolved in the future. Right now, there's so much duplication of effort. If you're in litigation against an opposing party, You have your documents set that your people are analyzing at some expense. The other side has their documents set that their people are analyzing at some expense. You're all looking for those key documents, the needles in the haystack. There's a lot of duplicative efforts going on. Picture a world where you could just take all of the potentially relevant documents. Throw them into the pot of generative AI, and then have the generative AI predetermine what's possibly privileged and lawyers can confirm those decisions. But then let everyone, both sides of court, query that pot of documents to ask, what are the key questions? What are the key factual issues in the case? Please tell us the answers and the documents that go to those answers and cut through a lot of the document review and document production that's going on now that frankly uses up most of the cost of litigation. I think we're going to be able to resolve disputes more efficiently, less expensively, and a lot faster. And I don't know whether that's five years into the future or 10 years into the future, but I'll be very surprised if our dispute resolution procedure isn't greatly affected by these new capabilities. Pretty soon, I think, when I say pretty soon, I don't know if it's five years or 10 years, but I think judges are going to have their AI assistance helping them resolve cases and maybe even drafting first drafts of court opinions as well. And I don't think it's all that far off into the future that we're going to start to see them.  Therese: I think I'm a little bit more skeptical than Dave on some of this, which is probably not surprising to either Dave or to to Anthony on this one. Look, I think, I don't see AI as a general rule replacing lawyers. I think it will change what lawyers do. And it may replace some lawyers who don't keep pace with technology. Look, it's very simple. It's going to make us better, faster, more efficient, right? So that's a good thing. It's a good thing for our clients. It's a good thing for us. But the idea, I think, to me, that AI will replace the judgment and the decision-making or the results of AI is going to replace lawyers and I think is maybe way out there in the future when the robots take over the world. But I do think it may mean less lawyers or lawyers do different things. Lawyers that are well-versed in technology and can use that are going to be more effective and are going to be faster. I think that. You're going to see situations where it's expected to be used, right? If AI can draft an opinion or a brief in the first instance and save hours and hours of time, that's a great thing. And that's going to be expected. I don't see that being ever being the thing that gets sent out the door because you're going to still need lawyers who are looking at it and making sure that it is right and updating it and making sure that it's unique to the case and all the judgments that go into those things are appropriate. I do find it difficult to imagine a world having, you know, been a litigator for so many years where everyone's like, sure, throw all the documents in the same pod and we'll all query it together. Maybe we'll get to that point someday. I find it really difficult to imagine that'll happen. There's too much concern about the data and control over the data and sensitivity and privilege and all of those things. You know, we've seen pockets of making data available through secure channels so that you're not transferring them and the like, where it's the same pool of data that would otherwise be produced, so that maybe you're saving costs there. But I don't, again, I think it'll be a paradigm shift eventually in that, paradigm shift that's been a long time coming, though, I think, right? We started using technology to improve this process years ago. It's getting better. I think we will get to a point where everyone routinely more heavily relies on AI for discovery and that that is not the predictive coding or the tar for the people who know how to use it, but it is the standard that everybody uses. I do think, like I said, it will make us better and more efficient. I don't see it really replacing, like I said, entirely lawyers or that will be in a world where all the data just goes in and gets spit out and you need one lawyer to look at it and it's fine. But again, I do think it will change the way we practice law. And in that sense, I do think it'll be a paradigm shift.  Anthony: The final thought is, I think I tend to be, I'm sort of in the middle, but I would say generally we know lawyers have big egos, and they will never allow, they will never think that a computer, AI tool or whatever, is smarter than they are in terms of determining privilege or relevance, right? I mean, I think that's part of it is, there's, you know, you have two lawyers in a room, they're going to argue about whether something is relevant. You have two lawyers in a room, they're going to argue about something privileged. So it's not objective, right? There's subjectivity. And I think that's going to be one of the chances. And I think also, we've seen it already. Everyone thought. Every lawyer who's a litigator would have to be really well-versed in e-discovery and all the issues that we deal with. That has not happened. And I don't see that changing. So unless I'm less concerned about being a paradigm shift than all of us going out for those reasons.  David: Well, I think everyone needs to tune back in on July 11th, 2029 when we come back to get stuff to begin and see who we're going.  Anthony: Yes, absolutely. All right. Thanks, everybody.  David: Thank you.  Outro: Tech Law Talks is a Reed Smith production. Our producers are Ali McCardell and Shannon Ryan. For more information about Reed Smith's emerging technologies practice, please email techlawtalks@reedsmith.com. You can find our podcasts on Spotify, Apple Podcasts, Google Podcasts, reedsmith.com and our social media accounts.  Disclaimer: This podcast is provided for educational purposes. It does not constitute legal advice and is not intended to establish an attorney-client relationship, nor is it intended to suggest or establish standards of care applicable to particular lawyers in any given situation. Prior results do not guarantee a similar outcome. Any views, opinions, or comments made by any external guest speaker are not to be attributed to Reed Smith LLP or its individual lawyers.  All rights reserved. Transcript is auto-generated.

In this career and technology episode, David Cowen and Briordy Meyers explore the transition from the traditional EDRM model, designed for document management, to a new paradigm suited for today's data-driven world. They discuss how the vast variety, velocity, and volume of data are driving the need to consider diverse data sources and types, which in turn generates numerous new career pathways and opportunities.   Briordy Meyers dives deep into the transformative impact of emerging technologies and evolving business models on careers and the demand for talent.   Finally, Briordy discusses the Legal Data Intelligence (LDI) project, a flagship initiative that exemplifies how new workflows and values are transforming the legal industry. The LDI project focuses on harnessing the power of data to drive efficiency and innovation in legal practices. By leveraging advanced data analytics and machine learning, the project aims to streamline legal processes, improve decision-making, and create new value for clients. This case study highlights the real-world application of data-driven strategies and the critical role of new career pathways in supporting these innovations.   And if you're a Top Gun fan, you'll love David and Briordy's analogy to Top Gun's Maverick, Rooster, Hangman, and Phoenix.   Join us for this compelling conversation and discover the new career opportunities emerging in our data-centric world.  

One of the original attorneys in Morgan Lewis's eData practice, Scott Milner counsels and advises companies in electronic discovery and information governance processes and best practices. He works with Morgan Lewis's lawyers across practice groups to tailor strategies and discovery management plans for clients around the globe, in numerous industries and disciplines. Scott's practice encompasses all phases of eDiscovery, from preservation and collection to review and production of large volumes of electronically stored information (ESI).   In episode 002 of Careers and The Business of Law: Legal Data Intelligence Series, David Cowen sits down with Scott Milner to talk about his journey from the early days of eDiscovery to leading Legal Data Intelligence (LDI) at Morgan Lewis. They dive into how eDiscovery started, the development of EDRM, and how tech has been a game-changer in legal processes. Scott points out the key skills needed for the future: being tech-savvy, thinking strategically, and tackling legal challenges head-on. They also talk about how LDI could change the game in legal frameworks and make the most out of data across various legal and compliance areas.   (0:09) - The Birth of eDiscovery. David Cowen hosts Scott Milner to dive into the genesis of eDiscovery and the emerging field of Legal Data Intelligence (LDI). Scott reminisces about the early days when eDiscovery was an unknown frontier, highlighting his collaborative journey with Tess Blair and Morgan Lewis, noting, "it's like we didn't even know what e-discovery was."   (0:43) - A Generation in eDiscovery. Scott reflects on his longstanding friendship and professional rapport with David, marking over two decades in the eDiscovery landscape. He jokes, "I like to pretend I started when I was six years old, right? Because I can't be that old."   (1:16) - Innovating Out of Necessity. In the nascent stages of eDiscovery, Scott and his peers were pioneers, crafting their tools and processes from scratch. "We had to build the technology. We had to build the process.”   (3:33) - Evolution of eDiscovery Technology. Scott outlines his journey through various technologies in eDiscovery, from manual processes  to sophisticated solutions like Accelerate and generative AI. He expresses enthusiasm for the continuous evolution and integration of tech that enhances legal outcomes.   (5:15) - The Genesis of EDRM. Reflecting on the creation of the Electronic Discovery Reference Model (EDRM), Scott credits the collaborative effort led by George Socha in Minneapolis, highlighting how a gathering of brilliant minds laid the groundwork for standardized practices in eDiscovery.   (6:14) - Defining Legal Data Intelligence (LDI). Scott articulates the mission of LDI as an extension of EDRM, aiming to harness data more comprehensively beyond eDiscovery. He views LDI as a crucial step forward in utilizing eDiscovery frameworks to address broader legal and data challenges like cybersecurity and contract analytics.   (14:13) - The Future of Legal Data Intelligence. As the conversation wraps, Scott contemplates the transformative potential of generative AI in legal operations. He projects a visionary future where eDiscovery principles could revolutionize data handling across various sectors.   Mentions: Morgan Lewis: Law firm where Scott Milner works. Morgan Lewis official website George Socha: Co-founder of EDRM. George Socha's professional page Tess Blair: Entrepreneur in the e-Discovery space. Tess Blair's profile at Practising Law Institute Aloe Blacc: Artist of the song "The Man," mentioned by Scott as his outro song. Aloe Blacc's official website  

Ashley Christakis has 19 years of experience in the Legal and eDiscovery industry. Her roles have included Litigation Paralegal, eDiscovery Project Manager, eDiscovery Program Manager, and Senior Manager, eDiscovery and Legal Operations. Ashley's experience spans each phase of the EDRM in the law firm and in-house settings, including information governance and litigation readiness for key and complex data sources, legal hold management, collection strategy and execution, processing specifications, crafting and iterating on search terms, analytics, document review management, data disposition, and optimization, driving efficiencies in each phase, and drafting and consulting on associated corporate policies and procedures. She enjoys building relationships and collaborating to advance legal technology in support of the business and legal industry. Ashley lives in Malvern, PA, with her husband, two kids, and their assortment of pets.   In episode 001 of Careers and The Business of Law: Legal Data Intelligence Series, Ashley Chistakis talks with David about her path from Law firm marketing to paralegal to legal operations at Siemens, “the art of the possible” in elevating the role of legal ops and eDiscovery, the three legal superpowers-- technology curiosity, relationship building, and a service mindset--that all nextGen legal data intelligence workers will need.   (0:24) The Evolution of Legal Roles. Ashley Christakis introduces her role at CrowdStrike and her dual responsibilities in legal operations and eDiscovery, highlighting her efforts to elevate the legal department by enhancing internal workflows in collaboration with her team and the tech department. (1:35) Facing Challenges in LegalOps. Discussing the biggest challenges in her role, Ashley points to the need for reimagination and innovation in legal processes, along with the hurdles of technology implementation and workforce management. She emphasizes the broad scope and the inherent difficulties of making decisive choices in her field. "I would say it's the reimagination... it's really hard, at least for me individually, to make a decision.” (3:05) From Childhood Dreams to Legal Innovator. Ashley recounts her unexpected career trajectory from dreaming of being a musician or ballerina to pioneering legal technology and eDiscovery. She draws an engaging analogy between musical roles and departmental functions within a company, illustrating her creative approach to organizational dynamics. "H.R. is the guitar... and we all know that the lead singer is sales." (6:02) Legal Data Intelligence Explained. Ashley delves into the concept of Legal Data Intelligence (LDI), emphasizing its reliance on nextGen technology to drive improvements in productivity and efficiency within legal operations. She articulates her personal connection to LDI, noting her introverted nature and her passion for the subject. "And so when I raise my hand, it's about something I'm passionate about. And that's LDI.” (10:19) The Superpowers of Legal Professionals. Highlighting the unique qualities essential for roles in legal data and operations, Ashley identifies technology curiosity, relationship building, and a service-oriented approach to internal clients as her professional "superpowers." These traits, she argues, are crucial for navigating the complex intersections of law and technology.  (15:59)  Building the LDI Community. Ashley speaks about forming a collaborative group within the realm of Legal Data Intelligence, named the LDI posse, which includes professionals like Farah, Pepper, Omar, and Jeremiah. This group aims to spearhead new initiatives and bring diverse ideas to the forefront of legal operations. "There's at least 30 of us, and we're all uniquely qualified in various ways to present this new initiative.” (21:07) A Personal Note: Life Beyond the Office. Ashley shares personal insights into her daily routine and how she balances professional demands with personal life, emphasizing the importance of maintaining boundaries for work-life balance. She also shares her leisure activities, such as watching TV shows to unwind. "I probably watch either a comedy, like Parks and Recreation, or I watch The West Wing to fall asleep to.”

Adrian Lurssen, the Co-Founder and VP of Strategic Development at JD Supra, one of EDRM's most trusted and valued partners, returns to sit down with Kaylee & Mary to talk about the 2024 JD Supra Readers' Choice Awards and what has changed and what is enduring around the Awards, and the surprising diversity of thought leaders and award winners. Adrian talked with us about what he is seeing across the JD Supra ecosystem, how JD Supra serves clients and how they retain their wonderful team members and some JD Supra Secret Sauce.

Andrew Haslam's eDisclosure Systems Buyers Guide is widely recognized as one of the most comprehensive and credible resources for legal and IT professionals seeking to understand and apply eDisclosure and eDiscovery concepts, processes, techniques, and tools. The Guide covers a wide range of topics, including the EDRM, industry approaches, and vendor capabilities. It also provides a detailed overview of vendor services and software shared by participating vendors. The post [November/December 2023 Update] Andrew Haslam's eDisclosure Systems Buyers Guide (Online Knowledge Base) appeared first on ComplexDiscovery.

Welcome to another transformative episode of The Good Enough Mompreneur Podcast. I'm honored to share my conversation with Dr. Amy Hoyt, PhD, a renowned expert in trauma recovery and resilience, a Founder of The Whole Health Lab, and Co-Host of The Mending Trauma Podcast.You will learn in this episode how to: Gain a deeper understanding of trauma and debunk common misconceptions.Navigate the evolving landscape of trauma knowledge with expert insights.Distinguish between trauma, PTSD, and CPTSD, gaining clarity on each.Explore the spectrum of maladaptive and adaptive behaviors in response to trauma.Receive practical tips for building resilience and enhancing self-awareness.Overcome common obstacles such as fear, perfectionism, and self-judgment.Recognize the signs of healing and personal transformation.Connect with Dr. Hoyt and The Whole Health Lab Team:

Robin Perkins, founder and chair of the eDiscovery Practice Group at Kutak Rock, sits down with Kaylee and Mary to talk about her journey to eDiscovery and her passion for the National eDiscovery Leadership Institute (NeLI) conference in its 10th year, how the conference offers outstanding networking like a sit down plated dinner for all attendees and complimentary in person attendance. The 2 day conference offers CLE and Illumination Zone listeners can receive a $50 discount on the $150 virtual fee with the code EDRM.

In the second episode of a two-part discussion on repurposing technologies and marketing to different personas, the panelists answer questions from the audience about the challenges and concerns they are facing in the regulatory, eDiscovery, and privacy landscapes. Our guests include industry experts Mary Mack, CEO & Chief Legal Technologist for EDRM; Joy Murao, Founder, CEO Practice Aligned Resources (PAR); Nicki Benvenuti, President & CEO or AEK Solutions; and Minoo Razavi, legal tech Marketing Maven.

Rakesh (Rocky) Madhava, founder and CEO of EDRM's newest Trusted Partner, Nextpoint, sits down with Kaylee & Mary to talk about his journey to eDiscovery, Nextpoint's commitment to pro bono, roadmap, unlimited data, massive scaling and our new partnership.