Toolkit
Practical resources from the Lab on using AI well in legal education and practice — for faculty, students, and chambers.
The Toolkit collects the Lab’s audience-specific reference documents — the kinds of practical materials a faculty member, 1L, or staff member can pick up and use the same day.
The current generation was developed for the Penn Carey Law community and is now openly available here. The Lab revises these documents continuously — subscribe to the Lab newsletter to be notified as items update.
Core publications
The Toolkit's flagship documents — the foundation of the Lab's faculty-facing work.
- Core August 2025; revised for migration May 2026
Best Practices for AI in Legal Education
The Toolkit's flagship document. Student and faculty AI use cases organized by activity type and academic setting; AI training pipelines; efficacy assessment; academic standards; ethical considerations; access and equity.
Public - Core August 2025; revised May 2026
AI Syllabus Guide
Ready-to-use syllabus language across four policy stances — no written assignments, limited AI use (two variants), complete prohibition — plus answers to the eight questions students most often ask.
Public - Core July 2025; revised May 2026
Legal AI Tool Guide
Categorized overview of seven legal AI tool families plus the major general-purpose tools — built for faculty trying to make sense of the field.
Public - Core August 2023, revised for public release May 2026
Prompt Guide & Scenarios
The Lab's oldest publication. Introduces the CRAFTED prompting framework with three worked-through scenarios — Contracts class prep, Constitutional Law practice questions, CoCounsel research.
Public - Core August 2025; revised May 2026
Resource Menu
The Lab's faculty-facing entry point — a single landing page that links to the four core publications.
Public
Audience-specific guidance
Tailored resources for students, 1Ls, and the broader Penn community.
- Audience September 2025; revised May 2026
1L Guidance on ChatGPT Edu Use
Written for incoming 1Ls. How LLMs work, their strengths and weaknesses, the human-AI-human sandwich workflow, and prompting tips.
Public - Audience August 2025; revised May 2026
AI Tips for 1Ls
Talking points for orientation sessions and 1L AI-introduction events.
Public - Audience February 2026; revised May 2026
AI Resources at Penn
A directory of AI resources across the law school and the broader university — tool access, training programs, academic policies, support contacts.
Public
Faculty teaching resources
Practical materials for faculty experimenting with AI in the classroom.
- Teaching September 2024; revised May 2026
Faculty Guide to AI Tools
Sign-up instructions for ChatGPT and Claude, data-privacy settings to check, and six research use cases with worked examples.
Public - Teaching Fall 2024; revised May 2026
Teaching with Generative AI — Demos
Two-level demonstration prompts from the Fall 2024 Faculty Retreat — image generation, class scripting, hypothetical creation, Virtual TA setup, essay grading.
Public - Teaching 2024; revised May 2026
Creating a Virtual TA with Custom GPTs
A step-by-step guide to building a course-specific virtual teaching assistant on OpenAI's Custom GPTs platform, using the Lab's IP TA as a template.
Public - Teaching Fall 2024; revised May 2026
AI Use Policy Templates
Professor Struve's attribution and disclosure model, with sample AI-use statements faculty can drop into syllabi.
Public