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 teamwork

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00:00 Lawyers as architects of society

02:47 National regulation vs global practice

06:18 From systems to principles

09:42 Knowledge vs judgment in the AI era

14:11 Growing demand for legal services

17:36 Embedding AI across the curriculum

22:04 Teaching students to question AI

26:53 Rethinking assessment in an AI world

32:27 Generalists and multidisciplinary thinking

37:12 Human skills in a tech driven profession

41:05 Experiential learning and VR

44:38 Habits future lawyers must build

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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.

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This 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.

0:00 Introductie en het pad van Elgar

1:10 Generalist zijn in de advocatuur

2:59 Waarom AI een kans is voor generalisten

4:14 Het klassieke carrièrepad onder druk

6:08 Waarom experimenteren essentieel is

9:20 De eerste kennismaking met ChatGPT

11:28 Verandering organiseren binnen een groot kantoor

13:52 Waarom timing soms geluk is

15:15 Training is belangrijker dan technologie

18:56 Worden advocatenkantoren techbedrijven

21:53 Een nieuw profiel voor jonge juristen

24:40 Zichtbaarheid. Kennis delen. Cultuur

27:23 Waarom hyperpersoonlijk werkt

30:48 De zoektocht naar juridische AI tools

33:24 De trechter. Niet het resultaat maar het proces

36:24 Waarom testen altijd contextafhankelijk is

40:23 Van generieke AI naar juridisch onderzoek

45:22 Richtlijnen en onzekerheid in de markt

48:52 Open benchmarks en samenwerking

51:44 Voorspellingen voor 2026

54:31 Advies aan jonge juristen

55:55 Afsluiting

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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 pressure

Follow and subscribe, leave a review, and share this episode with colleagues and friends.

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This 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.

Chapters

0:00 Introduction.

3:05 Fear, prohibition and the illusion of control

7:40 There is no hiding from AI in legal practice

12:20 What really goes wrong when lawyers misuse AI

17:30 AI does not replace reasoning. It exposes weak reasoning

22:45 Judges, responsibility and meaningful human control

28:30 Why AI literacy matters more than technical skill

33:50 New legal markets beyond traditional law firms

38:40 Why old billing models are under pressure

43:10 The EU AI Act. Guardrails, risk categories and legal responsibility

47:40 What the AI Act means for lawyers, judges and legal education

50:10 Final reflection. Regulation as a condition for trust

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