Penn Carey Law AI Project / Toolkit
Toolkit
Fall 2026 guides for AI use in law teaching, student work, legal research, and responsible law-school workflows.
Start here if you are updating a syllabus, planning an assignment, advising students, or choosing how AI belongs in a law-school workflow.
The Toolkit is organized by task. Durable teaching, learning, prompting, and legal-method guidance lives here. Penn-specific tool access, account setup, data policy, and product details live in the AI Resources portal, where they can be updated as platforms and approvals change.
If you are still choosing a course structure, assignment pattern, or evaluation model, begin with the faculty Pedagogy & AI reference. Return here when you are ready for complete instructions, rubrics, and copyable language.
For assignment design, start with one of four complete packages: preserve an independent first pass before AI-supported revision, have students audit and correct AI legal work, build a staged research or writing project, or pair AI-permitted work with proportionate complementary evidence. Each includes student-facing instructions, an AI rule, deliverables, a rubric, scaling options, accessibility considerations, and evidence limitations.