What happens when the apprenticeship model breaks?
In this episode, Jen and Bridget explore how AI is reshaping legal education and associate training, from the classroom to the law firm. Sparked by a conversation by Wharton professor Ethan Mollick, the hosts ask: If the old model of learning-by-osmosis no longer works, what comes next?
Episode Highlights
(3:07) Bridget’s latest AI Aha!: Prototyping a GPT to simulate arbitration coaching scenarios
(5:18) Jen’s latest AI Aha!: Using ChatGPT’s deep research mode to enhance citation checking and targeted teaching
(7:40) Ethan Mollick’s provocative claim: “The apprenticeship model broke this summer” and what it means for legal training
(19:41) Harvey AI partners with LexisNexis and iManage. Is this the tipping point for generative AI in law?
Key Questions We Explore:
- How can AI help rebuild legal training systems from the ground up?
- What role might custom GPTs play in associate development and coaching?
- How do we ensure AI-driven tools support access to justice, not just Big Law?
Keywords: legal education, associate training, apprenticeship, GPTs, coaching, arbitration, Harvey AI, LexisNexis, iManage, legal workflows, custom GPTs, legal AI, access to justice, Ethan Mollick, pro bono innovation
This podcast is presented by the American Arbitration Association with Creative Lawyers, and distributed by the Practising Law Institute - bridging world-class legal education with the global leader in dispute resolution. Produced by Aaron Tran.
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