Katherine Hughes hosts the latest podcast from the City Bar’s Presidential Task Force on Artificial Intelligence and Digital Technologies. She is joined by WashU Law Dean Stefanie Lindquist and AI Collaborative Co-Director Oliver Roberts to discuss how generative AI is reshaping law school teaching, assessment, and professional preparation.

Dean Lindquist describes her wake-up call about student AI use, making AI a central dean priority, forming an AI task force, partnering with Roberts, and hiring an LLM engineer to support experimentation and tool-building. Roberts traces early experiences with hallucinated citations and argues AI education must go beyond AI regulation to hands-on tool use across legal workflows, core terminology, tool selection, and explicit ethics (competence, confidentiality, supervision, and overreliance).

They discuss institutional guardrails such as eliminating take-home exams, using simulations, workflow-based pedagogy, and new assessment ideas like oral exams and quizzing students on submitted work. They also note scholarship and journal pressures and conclude that lawyers who can’t use AI will be replaced by those who can.

02:13 Why AI Became Institutional 03:50 Oliver’s AI Origin Story 05:34 Faculty Misconceptions 07:26 JD Learning Outcomes 09:58 Core AI Competencies 13:04 Schoolwide Guardrails 16:56 Teaching Ethics through Scenarios 21:19 Hidden Ethics Pitfalls 23:56 Rethinking Assessment 27:10 Drafting and Disclosure 32:05 Workflows In Practice 35:41 Handling Faculty Skepticism 38:08 AI In Clinics 40:10 Scholarship And Journals 43:05 Closing Advice

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