Saturday, Apr. 11 (9:00am- 5:00pm) – Sunday, Apr. 12, 2026 (9:00am-9:00pm)

Register by March 3, 2026.
Limited to Stanford students (Law, CS/Engineering, GSB). Space is limited.

In this hands-on accelerated class, interdisciplinary teams design and prototype agentic AI applications at the intersection of technology and law. In small teams of Law, CS/Engineering, and Business students, you’ll receive structured instruction and expert coaching to produce: 1) a functional prototype, and 2) a pitch narrative, both tuned for the Stanford Law x LLM Hackathon (Day 2) to compete versus other teams.

• How do you turn the latest GenAI models into reliable, enterprise-grade agents?
• Which legal-tech problems are “startup-sized” now—and how do you pick the right wedge?
• How do you design around model limits (accuracy, privacy, IP, compliance) to ship safely?

You’ll tackle these questions with guidance from lecturers and invited GenAI experts (past guests from OpenAI, Google, Apple, and Meta). Working in small teams, you’ll develop a GenAI startup concept, then refine and pitch it at the open Stanford Law x LLM Hackathon (Day 2) to a panel of AI entrepreneurs and academics. No prior AI experience required. No academic credit is offered.

Class taught by:

• Jay Mandal is a Stanford CodeX fellow and Guest Lecturer (sixth year teaching this AI and law class at Stanford); was head M&A lawyer at Apple, COO of SAP’s Analytics and AI Business, and CEO/co-founder of Google Ventures-funded legal tech startup.
• Roland Vogl is Executive Director of both CodeX – the Stanford Center for Legal Informatics, and the Stanford Program in Law, Science and Technology, and a Lecturer at Stanford Law School specializing in the areas of legal informatics, IP law and innovation.
• Aparna Sinha is a Stanford Engineering alum who has led AI product teams at Vercel and Capital One as SVP, is an investor/advisor at PearVC, and built a $B+ business at Google Cloud.

Questions? Email co-organizers Jay Mandal and Roland Vogl at AILawBootcamp@gmail.com.

Class sponsored by CodeX – The Stanford Center for Legal Informatics and Stanford CS+Social Good.