(28) Legal AI Live, April 2026, Part 2

(32) Legal AI Live, June 2026, Part 2

* Right-size your AI tools. You don’t need the most powerful model for every task. Use precise, task-appropriate tools (even Excel) rather than defaulting to the biggest, most compute-heavy options. “Speedboat over battleship.” * The junior lawyer pipeline is in crisis. As clients refuse to pay for junior work and firms automate routine tasks, there’s a real unresolved question about how new lawyers develop judgment and discernment without the traditional “cut your teeth” experiences. * AI in legal education needs guardrails, not bans. Law schools are shifting from banning AI to teaching students how to critically evaluate AI output. The goal is developing judgment alongside using the tools, not instead of using them. * Agentic workflows are the current frontier. Mathew’s Comet browser workflow (chaining a legal analysis AI with a document AI assistant to auto-redline contracts) exemplifies where practical AI use is heading: multi-model, multi-step automation without burning tokens on unnecessary heavy models. * Big Law’s AI investments may not align with the profession’s future. Kirkland & Ellis spending $500M on a proprietary model reflects a for-profit firm optimizing for its own margins, not for how the next generation of lawyers should be developed. The profession needs to think critically about whose vision of the future it’s building toward. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.legalailive.com [https://www.legalailive.com?utm_medium=podcast&utm_campaign=CTA_1]

(31) Legal AI Live, June 2026, Part 1

* AI models keep leaping forward and lawyers need to keep up. The Claude Fable drop and OpenAI’s forthcoming model underscore that the tools are improving rapidly. The question isn’t whether to use them, but how to use them well. * Hallucinations aren’t an AI problem, its a competency problem. Cat Moon and Cat Casey both pushed back on the “lawyers screwing up with AI” narrative: human hallucinations predate ChatGPT. The real issue is a long-standing failure to hold lawyers accountable for competency, and AI is finally forcing that reckoning. * Discernment is the critical skill, not tool fluency. Cat Moon’s upcoming AI competency framework centers discernment, the lawyerly judgment to critically evaluate AI output, above AI literacy or tool use. You can’t outsource judgment; it has to be formed through doing the actual work. * Banning AI in law schools is the wrong move but using it uncritically is worse. The panel agreed that banning AI (as Berkeley attempted) does students a disservice, especially those with learning differences. But the goal should be teaching lawyers to use AI in context, verifying citations and checking reasoning, not just accepting polished output. * OpenAI’s Codex for law and Big Law’s $500M AI bets are a wake-up call. The former Ironclad CEO moving to OpenAI to build a law-specific model, alongside Kirkland & Ellis spending $500M on AI, signals a foundational shift. AI-native law firms and private equity in legal are happening fast, and anyone not paying attention risks being left behind. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.legalailive.com [https://www.legalailive.com?utm_medium=podcast&utm_campaign=CTA_1]

(30) Legal AI Live, May 2026, Part 2

This Episode’s Top 5 Takeaways: * Proof of humanity in AI-generated content. Shorter, burstier writing with natural quirks (typos, run-ons, personal style deviations) signals authenticity. Long, perfectly structured posts are increasingly read as AI slop. * Open source vs. enterprise AI is a false dichotomy. Tools like MikeOSS aren’t eating Harvey’s or Legora’s lunch; they’re expanding the market to users who could never afford enterprise licenses. Different tools serve different addressable markets. * Vibe coding is accessible but unpredictable. Mathew built a custom app using Perplexity in ~3 hours for $15, orchestrating AI tools against each other. The cost and time savings are real, but the process is nonlinear and can break. * Human taste and expertise still matter. AI output is “pretty good,” but the value-add is curation and judgment (Nick’s 83-year-old father reviewing an AI-drafted lease addendum). The shift may be toward “service as a service” — humans guiding AI rather than just using software. * AI is transforming education. Nick highlighted that AI has made learning more accessible than ever, particularly for people with learning differences like dyslexia, calling it the best educational experience of his life. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.legalailive.com [https://www.legalailive.com?utm_medium=podcast&utm_campaign=CTA_1]

(29) Legal AI Live, May 2026, Part 1

This Episode’s Top 5 Takeaways: * The lump of labor fallacy is real: AI creates more work, not less. Lawyers using AI aren’t doing less work; they’re taking on more complex, higher-value tasks that were previously impossible or impractical. Jason did sophisticated flat-fee pricing analysis in hours; Greg produced 100 hours of data work in 5–10. * Taste and curation are the new superpowers. Mathew’s talk “Curation and Taste Are Your Superpowers” captures the shift: AI commoditizes execution, so what differentiates you is judgment, taste, and knowing what good output looks like. Tools like Marbelism win by curating pre-built AI workflows so users don’t have to. * Human authenticity is increasingly valuable and detectable. LinkedIn is actively deprioritizing generic AI content. Cat warns of homogenization (”dead internet theory”) and argues that leaning into your own voice is now essential. Nick revived his podcast specifically because human-visible, consistent content cuts through the AI slop deluge. * Ideas can now be turned into reality at near-zero cost. Damien’s “any jerk can have an idea, but execution is expensive” is no longer true. Vibe coding turns ideas into software; one prompt turns a research paper into a polished PowerPoint. The bottleneck has shifted entirely to ideation and taste. * The skills gap is widening dangerously. Cat highlights a 56% wage premium for those with real AI experience vs. dabblers. Access is universal now; capability is not. Those who understand how to build, steer, and evolve AI systems are pulling ahead of those who just use them casually. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.legalailive.com [https://www.legalailive.com?utm_medium=podcast&utm_campaign=CTA_1]

(28) Legal AI Live, April 2026, Part 2

This Episode’s Top 5 Takeaways: * The traditional law firm business model is collapsing. Nicole Morris was blunt: the idea that AI-trained associates will simply bill out at higher rates won’t save the model. She believes the collapse is already underway and accelerating. Damien noted that freed-up junior lawyers could instead serve the 92% of unmet legal needs by going downmarket. * AI agents are still in the “HTML era” — powerful but not yet accessible. The panel largely agreed that agents are cutting-edge and mostly used by tech-savvy early adopters. Security concerns, complex setup, and governance risks are keeping mainstream law firms on the sidelines. But Damien compared today to early web development: guardrails (like NVIDIA’s sandboxed open-source version) will eventually make agents as easy as Wix made websites. * Damien’s vision of the “agentic law firm” is arriving. He described a multi-bot workflow: an associate bot spots issues, researches, and maps facts to legal elements → a partner bot critiques → an opposing counsel bot stress-tests → 10-100 judge bots render verdicts — all before any human sees the work. The panel agreed this is where the profession is headed, even if most aren’t there yet. * Harvey is now priced for small firms — $25K/year for 5 seats. Mathew revealed pricing he learned at ABA Tech Show: $5,000/seat/year (~$417/month), with a minimum of 5 seats. He was pleasantly surprised, though noted it still excludes true solos and that building agentic workflows inside Harvey is too complex without their concierge support. * The future of legal AI is vertical and meeting lawyers where they work. The panel’s parting shots converged: legal AI tools that focus on a single practice area (litigation, transactional, etc.) will gain faster adoption, while tools embedded directly into lawyers’ existing workflows (Word, Google Workspace, email, MCP for Claude) remove the friction of adoption. Mathew’s analogy: like Calendly vs. Google Appointments — best-of-breed vertical tools win on depth. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.legalailive.com [https://www.legalailive.com?utm_medium=podcast&utm_campaign=CTA_1]