Technically Legal - A Legal Technology and Innovation Podcast

7 episodes scanned.

Recent Episodes

1. On Future-Proofing Law Firms: The Rise of Private Equity and MSOs in Legal & Investing in Tech to Build Referral Networks (Glen Lerner)

   Oct 29, 2026

   Personal injury attorney Glen Lerner discusses running a national plaintiffs' firm as a business and the growing role of private equity in legal, including the use of Management Service Organizations (MSOs) and his firm's recent strategic equity deal with Atticor. He also covers rising case acquisition costs, his early career, and his investment in the legal referral platform Lexamica. He predicts that AI and autonomous vehicles will shrink the personal injury claims market over the next five to ten years.

2. How Plaintiffs Lawyers Can Unlock Law Firm Leverage With AI & Automation ( Jay Madheswaran - CEO Eve)

   Oct 15, 2026

   Jay Madheswaran, CEO and founder of Eve, discusses his path from early Facebook engineering through venture capital at Lightspeed to founding Butler Labs and then Eve. The conversation covers why plaintiff law firms, which operate on contingency fees, are a focus for AI-driven case management, intake, and demand-letter drafting. Jay also describes Eve's product evolution, its early go-to-market approach, and its planned Atlas data layer.

3. Best of TL: Legal's Moment to Move Beyond AI Experimentation (Sabastian Niles, President & CLO Salesforce)

   Oct 1, 2026

   Sabastian Niles, President and Chief Legal Officer at Salesforce, discusses his open letter to law firms arguing that the era of AI pilots and experimentation is over. He outlines four critical systems firms must establish—engagement, agency, work, and context—to remain competitive in an agentic AI future, while emphasizing that legal professionals are uniquely positioned to lead trusted AI transformation across industries.

4. On AI Evals, TAR vs. LLMs and What Will be Different Next Year - Aron Ahmadia (VP Applied Science, Relativity)

   Sep 17, 2026

   Aron Ahmadia, VP of Applied Science at Relativity, discusses AI evaluation methodologies and the transition from Technology Assisted Review (TAR) to generative AI in legal document review. The conversation covers the Redgrave study comparing TAR, human review, and Relativity's aiR for Review tool, with findings showing aiR for Review achieved 88% recall versus 64% for human reviewers. Ahmadia emphasizes the importance of building evaluations as durable products and explains how generative AI differs fundamentally from traditional machine learning approaches in legal document classification.

5. Moving Beyond the Billable Hour: Pricing Legal Work in the AI Age (Emily Logan Stedman - Husch Blackwell)

   Sep 3, 2026

   Emily Logan Stedman, a commercial litigator at Husch Blackwell in Milwaukee, discusses her year-long effort to implement Alternative Fee Arrangements (AFAs) for litigation work, moving beyond the traditional billable hour model. She details her methodical approach using AI to analyze historical billing data and structure phased flat fees, strategic counsel subscriptions, and predictable contract review pricing. The conversation covers both the practical mechanics of pricing litigation work and the wellness benefits of reframing how legal services are billed and delivered to clients.

6. AI Regulation: Where it is and Where it Might (or Should) Go (Justin Wales CLO @ Crypto.com & Author of AI Legal Handbook)

   Aug 20, 2026

   Justin Wales, Chief Legal Officer of Crypto.com and author of The AI Legal Handbook, discusses the emerging regulatory landscape for artificial intelligence, liability frameworks, and practical applications of AI in legal practice. He outlines seven foundational principles for AI regulation, emphasizing proportional oversight, human-centered accountability, and transparency over prohibition, while addressing the black box problem, copyright issues in machine learning, and the governance challenges of artificial general intelligence (AGI).

7. From Managing Partner to Intel CLO: Career Lessons and Thoughts on Modern Legal Practice (April Miller Boise)

   Aug 6, 2026

   April Miller Boise, former Managing Partner at Thompson Hine and Chief Legal Officer at Intel, discusses her career trajectory from Wall Street M&A practice to in-house leadership roles. She explores the widening gap between corporate legal departments' expectations and traditional law firm service delivery models, addresses the impact of AI adoption on legal practice, and offers mentorship advice for junior lawyers navigating an industry in transformation.

8. When Machines Have the Answers, Build Better Humans With AI Augmentation Not Automation (Vivienne Ming, Scientist, Professor, Author)

   Jul 23, 2026

   Vivienne Ming, a theoretical neuroscientist, professor, and author, discusses her book 'Robot Proof: When Machines Have All the Answers, Build Better People.' She explains her research on human-AI collaboration, where she found that the best outcomes occur not through automation or passive AI adoption, but through 'cyborg' interactions where humans and AI co-create solutions by challenging each other's assumptions. Ming argues that to remain relevant in an AI-driven world, humans must develop deeply human traits like curiosity, resilience, endogenous motivation, and intellectual humility—skills that cannot be automated and are increasingly valuable as AI handles well-posed problems.

9. Inside Microsoft Legal: A Look at AI Use Built for Scale (Rebecca Anderson - Head of Legal EMEA Microsoft)

   Jul 9, 2026

   Rebecca Anderson, Head of Legal for EMEA and Associate General Counsel at Microsoft, discusses Microsoft's approach to deploying AI across a massive legal department serving 63 countries and over 10,000 business clients. She outlines a three-phase framework for AI adoption in legal—personal productivity, context engineering, and intent engineering—and explores how in-house counsel is partnering with law firms in new ways as AI reshapes legal work. Anderson emphasizes that the future of legal is not about jobs lost to AI, but about the legal professionals lawyers will become with the technology.

10. Cost, Speed and Quality - One Law Firm's Quest to Deliver All Three (Laurence Brown, Partner EIP and Head of Visser AI)

    Jun 25, 2026

    Laurence Brown, a partner at UK-based patent firm EIP and head of Visser AI, discusses how his firm is breaking the traditional trade-off between cost, speed, and quality in legal services through AI integration. Brown explains the concept of an 'AI native law firm,' details how EIP has launched Visser AI as a hybrid intelligence division that redesigns patent workflows using specialized AI tools, and shares how the firm has achieved approximately 30% cost reductions while maintaining quality and improving turnaround times. The conversation covers fixed-fee billing models, regulatory challenges in Europe, and how AI augments rather than replaces attorney expertise in patent drafting.