Legal AI LAb

Law firm disruption won't start with technology. It starts with the client. Bjarne Tellmann spent 25 years as general counsel at Coca-Cola, Pearson, and GSK. His book "Law in the Era of AI" maps how the changes inside corporations will force the legal industry to adapt or vanish.Firms are posting record profits. But 100% of GCs in a recent Axiom survey regret their law firm engagements. 89% no longer consider them adequate. Bjarne draws on Nokia, Kodak, and Clayton Christensen's disruption theory to show why the most profitable incumbents are the most exposed to law firm disruption.He also offers paths forward. ClearyX funded its own disruption. The gazelle elephant model shows GCs how to rebuild their teams. And a warning: agentic AI is already making autonomous decisions inside corporations. If general counsels don't step into governance now, they'll be cleaning up the mess later.You'll learnwhy law firm disruption always starts with the client, not technologywhat the milkshake analogy teaches about law firm blind spotswhy no law firm has ever gone under while still profitablehow ClearyX funded its own disruption on purposewhat the gazelle elephant model means for legal team designPowered by ZenoThis episode is powered by Zeno. Zeno is an AI native legal workspace built for Dutch and EU law.Its AI navigates law like a human legal professional. Secure, transparent and grounded in authoritative sources.Visit zeno.law and make deep thinking your competitive edge.Chapters00:00 Introduction02:15 Why innovation needs ideas from unexpected places08:50 Record profits but law firm disruption is coming12:20 The AI factory driving law firm disruption17:10 The profession with zero curiosity about its clients23:00 Jobs to be done: what clients actually hire lawyers for32:00 Why law firm disruption is structurally impossible38:20 What if tech companies answer legal questions42:15 Kodak invented digital photography and still failed46:30 ClearyX: a firm that funded its own disruption53:10 The gazelle elephant model for legal teams57:30 Agentic AI and why governance cannot wait

A banking lawyer at one of the world's largest law firms teaches herself Python on weekends. She builds an AI-powered billing tool in a Jupyter notebook. Months later, that tool is rolled out across the entire firm.Tanya Sadoughi is Linklaters' AI and Innovation Lead Lawyer for Global Banking. When ChatGPT launched one month into her innovation secondment, she saw the opportunity before most others did. She talked to every lawyer in the banking practice, mapped every pain point, and built a working prototype herself.That prototype became the WIP Summariser, now deployed firmwide. Today she leads a team of five AI lawyers inside a global network of twenty.Vibe coding is changing how lawyers work. Not by replacing them, but by turning them into builders. Tanya explains what that looks like inside a major international law firm. From hackathons that spark curiosity to agentic systems that solve problems at scale.You'll learnWhy the AI lawyer role should always be filled internallyHow a weekend prototype became an enterprise tool at LinklatersWhat vibecoding means for the legal professionWhy hackathons are the best way to spark AI curiosity at law firmsHow Linklaters scaled from one to twenty AI lawyersWhat lawyers and engineers can learn from each otherPowered by ZenoThis episode is powered by Zeno. Zeno is an AI native legal workspace built for Dutch and EU law.Its AI navigates law like a human legal professional. Secure, transparent and grounded in authoritative sources.Visit zeno.law and make deep thinking your competitive edge.Chapters0:00 Introduction2:04 Will lawyers become builders4:53 Growing up in a pizza shop in South Yorkshire9:17 A viral YouTube channel at 1511:16 Why she chose law13:29 Becoming a banking lawyer at Linklaters15:42 The itch for something different17:35 ChatGPT launches one month into her innovation role19:28 First experiments with large language models23:18 The billing problem nobody could solve27:26 Learning Python on weekends31:31 The moment the prototype worked35:31 Hackathons and sparking curiosity at law firms40:23 From one AI lawyer to twenty43:47 Vibecoding five apps in one week46:31 What engineers and lawyers can learn from each other51:23 Why every law firm needs an AI lawyer53:01 More builders not more tools

Lawyers are architects of society. But what happens when AI changes how law is accessed, practiced and understood?In this episode of Legal AI Lab, Soledad Atienza, Dean of IE Law School, explains why legal education must move beyond national systems and embrace a global legal mindset.AI makes legal knowledge more accessible than ever. That means law schools must shift their focus. From memorising content to developing critical thinking. From national silos to comparative principles. From narrow specialisation to multidisciplinary awareness.We discuss:• Why law schools should not ban AI but guide its use• How assessments must change in an AI world• Why students must learn to question AI outputs• Why demand for legal services is growing, not shrinking• The importance of human skills such as empathy, negotiation and teamworkPowered by ZenoThis episode is powered by Zeno. Zeno is an AI native legal workspace built for Dutch and EU law.Its AI navigates law like a human legal professional. Secure, transparent and grounded in authoritative sources.Visit zeno.law and make deep thinking your competitive edge.hoofdstukken00:00 Lawyers as architects of society02:47 National regulation vs global practice06:18 From systems to principles09:42 Knowledge vs judgment in the AI era14:11 Growing demand for legal services17:36 Embedding AI across the curriculum22:04 Teaching students to question AI26:53 Rethinking assessment in an AI world32:27 Generalists and multidisciplinary thinking37:12 Human skills in a tech driven profession41:05 Experiential learning and VR44:38 Habits future lawyers must build

AI verandert de advocatuur fundamenteel. Niet alleen technisch, maar ook cultureel.In deze aflevering van Legal AI Lab spreekt Hidde Bruinsma met Elgar Weijtmans over wat het betekent om jurist te zijn in een tijdperk van generatieve AI.Elgar vertelt waarom hij zichzelf een generalist noemt. Waarom juist die brede blik steeds waardevoller wordt. En waarom advocatenkantoren die wachten op perfect beleid of volledige zekerheid zichzelf in de weg zitten.Het gesprek gaat over experimenteren. Over kleine teams. Over sandboxes in plaats van olietankers. En over waarom training, cultuur en menselijk gedrag uiteindelijk belangrijker zijn dan de technologie zelf.Ook bespreken we hoe advocatenkantoren omgaan met weerstand. Waarom vroege adoptie soms vooral geluk is. En waarom AI niet vraagt om minder mensen, maar om andere vaardigheden.Een aflevering voor studenten. Voor jonge juristen. Voor partners. En voor iedereen die voelt dat het klassieke carrièrepad schuurt.Powered by ZenoThis episode is powered by Zeno. Zeno is an AI native legal workspace built for Dutch and EU law.Its AI navigates law like a human legal professional. Secure, transparent and grounded in authoritative sources.Visit zeno.law and make deep thinking your competitive edge.hoofdstukken0:00 Introductie en het pad van Elgar1:10 Generalist zijn in de advocatuur2:59 Waarom AI een kans is voor generalisten4:14 Het klassieke carrièrepad onder druk6:08 Waarom experimenteren essentieel is9:20 De eerste kennismaking met ChatGPT11:28 Verandering organiseren binnen een groot kantoor13:52 Waarom timing soms geluk is15:15 Training is belangrijker dan technologie18:56 Worden advocatenkantoren techbedrijven21:53 Een nieuw profiel voor jonge juristen24:40 Zichtbaarheid. Kennis delen. Cultuur27:23 Waarom hyperpersoonlijk werkt30:48 De zoektocht naar juridische AI tools33:24 De trechter. Niet het resultaat maar het proces36:24 Waarom testen altijd contextafhankelijk is40:23 Van generieke AI naar juridisch onderzoek45:22 Richtlijnen en onzekerheid in de markt48:52 Open benchmarks en samenwerking51:44 Voorspellingen voor 202654:31 Advies aan jonge juristen55:55 Afsluiting

Banning AI at law schools will not save legal education. It will make it unfair.In this episode of Legal AI Lab, Hidde Bruinsma speaks with Thibault Schrepel, Associate Professor of Law at the Vrije Universiteit Amsterdam and founder of Stanford’s Computational Antitrust Project.Schrepel explains why banning AI creates distorted competition, why AI detection does not work, and why law schools must rethink how they teach and assess students instead of trying to preserve outdated systems.Based on a two year classroom experiment, he shows what happens when students use AI without guidance, with guidance, or not at all. The results challenge common fears about shortcuts and show why AI can strengthen learning when used deliberately.The conversation also dives into the limits of future proof regulation, the challenges of the EU AI Act, and how AI is already changing law firm business models, billing structures, and the role of junior lawyers.AI is not ending the legal profession. It is removing the most tedious work and increasing the value of human judgment, creativity, and strategy.It forces legal education to confront how lawyers actually create value.You’ll learn• Why banning AI in law schools creates inequality rather than fairness• What actually happens when students use AI in legal education• Why detecting AI generated work does not work at scale• How legal education must change exams and teaching methods• Why future proof regulation is impossible and adaptive law is necessary• How the EU AI Act struggles with fast technological change• Why hourly billing is under pressureFollow and subscribe, leave a review, and share this episode with colleagues and friends.Powered by ZenoThis episode is powered by Zeno. Zeno is an AI native legal workspace built for Dutch and EU law.Its AI navigates law like a human legal professional. Secure, transparent and grounded in authoritative sources.Visit zeno.law and make deep thinking your competitive edge.Chapters0:00 Introduction.3:05 Fear, prohibition and the illusion of control7:40 There is no hiding from AI in legal practice12:20 What really goes wrong when lawyers misuse AI17:30 AI does not replace reasoning. It exposes weak reasoning22:45 Judges, responsibility and meaningful human control28:30 Why AI literacy matters more than technical skill33:50 New legal markets beyond traditional law firms38:40 Why old billing models are under pressure43:10 The EU AI Act. Guardrails, risk categories and legal responsibility47:40 What the AI Act means for lawyers, judges and legal education50:10 Final reflection. Regulation as a condition for trust

AI verandert de rechtspraak sneller dan wie dan ook had verwacht.In deze aflevering spreekt Hidde Bruinsma met Jos Smits, Programmamanager AI bij de Rechtspraak, over deepfakes, bewijsproblemen, hallucinerende modellen en de ontwikkeling van RechtspraakGPT.Jos legt uit waarom klassieke ideeën over bewijs en waarheidsvinding niet langer houdbaar zijn in een tijdperk waarin beelden, stemmen en documenten volledig te vervalsen zijn. En waarom AI niet de rechter vervangt, maar wel de manier waarop rechters werken ingrijpend zal veranderen.Je hoort onder meer:• Hoe deepfakes het bewijsrecht fundamenteel uitdagen• Waarom AI soms de bewijslast juist omdraait• Wat RechtspraakGPT wel en niet zal kunnen• Hoe de rechtspraak verantwoord met LLMs wil werken• Waarom menselijke oordeelsvorming belangrijker wordt in een AI-wereldDeze aflevering is onmisbaar voor iedereen die nadenkt over de toekomst van recht, waarheidsvinding en technologie.Follow and subscribe, leave a review, and share this episode with colleagues and friends.Powered by ZenoThis episode is powered by Zeno. Zeno is an AI native legal workspace built for Dutch and EU law.Its AI navigates law like a human legal professional. Secure, transparent and grounded in authoritative sources.Visit zeno.law and make deep thinking your competitive edge.