Agentic AI for Law

2 credits · Law School

This course combines conceptual and regulatory literacy with substantive hands-on experience building and governing AI agent systems for legal applications. Students examine what makes a system genuinely agentic, assess risk profiles, identify applicable regulatory requirements, and gain direct experience implementing governance controls. Coding agents — tools like Claude Code and Codex that operate through natural language — serve as the primary development environment and require minimal programming experience. These agents serve a dual pedagogical purpose: they are the medium through which students complete exercises, and they are themselves agentic systems that students evaluate against the course’s analytical frameworks. Students leave with both the conceptual vocabulary to participate in AI governance decisions and the practical experience of having built, tested, and governed an agent for legal work. Enrollment limited. Pass/Fail. [2]