EXP: AI Law Lab Bootcamp: Litigation Track (Bhimarao/Prakash)
Faculty
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| Meghana Bhimaraobmeghana@penncareylaw.upenn.edu |
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| Lakshmi Prakashlprakash@penncareylaw.upenn.edu |
Additional Information
Satisfies Senior Writing RequirementNo
Class meets in person.
Meeting Times/Location
US 9:00AM - 5:00PM
Tanenbaum Hall 320
Category
Upper-Level
Credits
2.0
This intensive, simulation-based course trains students in the use of AI in litigation practice by replicating the arc of a dispute from case intake to settlement negotiation under real-world time pressures. After a brief overview of legal AI, students will be assigned roles as plaintiff’s or defense counsel in a mock employment dispute. Over two weekends, they will use AI tools to forecast case outcomes, construct litigation risk matrices, and develop valuation ranges to guide settlement. Students will then advocate in a simulated negotiation and deliver client-ready presentations that integrate both technical and strategic insights.
The course emphasizes not just technical competence but also critical judgment: what predictive models can (and cannot) tell us about litigation risk, how lawyers reconcile AI-driven outputs with doctrinal analysis, and how advocacy requires translating data into persuasive, client-centered advice. AI is already reshaping dispute resolution through analytics, risk modeling, and case strategy, but it also raises new challenges around bias, transparency, and professional responsibility. This course prepares students not only to use AI competently in litigation, but also to lead in shaping how the profession adapts to its most transformative technology since the rise of the internet.