AI Law Lab Bootcamp
A 2-credit, intensive 2-weekend capstone course built around hands-on AI legal-tool simulations. Two parallel tracks — Corporate (M&A due diligence) and Litigation (analytics & predictive strategy).
A 2-credit, intensive 2-weekend capstone course delivered March 21–22 and 28–29, 2026. Practice-oriented, built around hands-on simulations using real AI legal tools.
Two parallel tracks
Corporate Track — AI-Powered Due Diligence Sprint
Anchored on Hershey’s 2017 acquisition of Amplify Snack Brands. Students worked in buyer and seller teams with deliberately asymmetric information, triaged 500+ contracts using AI tools, negotiated representations and warranties, and presented Red Flag Reports to a mock partner panel.
Litigation Track — Analytics & Predictive Strategy Lab
Anchored on Waymo v. Uber (N.D. Cal. 2017). Students generated AI outcome predictions, built a Litigation Risk Matrix, prepared settlement valuations (BATNA / WATNA), and ran a mock settlement negotiation.
AI Ethics module
A four-part framework spanning the personhood / attribution gap, agentic AI, physical AI and alignment, and contract liability allocation — the “AI Contract Stack.”
Speakers
The speaker program drew from Penn’s industry partners and across the legal-AI vendor landscape — practicing lawyers, vendor leadership, and academic researchers across both tracks.