Penn Carey Law AI Project  /  Toolkit

Start here for Fall 2026

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AI Syllabus Guide

Fall 2026 syllabus language for teaching in an age of AI, organized by course type, assignment design, disclosure, and assessment choices. faculty public
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AI Resources Portal (opens in new tab)

The Penn Carey Law hub for AI tool access, setup, data policy, and product-specific guidance. facultystaffstudent public
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Judicial AI Portal (opens in new tab)

A plain-language guide for federal judges and chambers staff: how AI tools differ from legal research systems, observed chambers use cases sorted by risk, and guardrails. judgesclerks public

Teaching and course design

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Assignment Package: Independent First Pass + AI-Supported Revision

A complete law-school assignment pattern that preserves evidence of independent analysis while teaching students to supervise AI critique and make defensible revisions. faculty public
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Assignment Package: Audit and Correct AI Legal Work

A complete exercise for assessing legal analysis, authority verification, and professional judgment by having students diagnose and repair AI output. faculty public
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Assignment Package: Staged Research or Writing Project

A scalable checkpoint structure for seminar papers and substantial projects, with stage-specific AI rules, feedback, and a revision-focused rubric. faculty public
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Assignment Package: AI-Permitted Work + Complementary Evidence

A proportionate assessment-twins pattern combining disclosed AI-assisted work with a short, independently completed application or explanation. faculty public
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Best Practices for AI in Legal Education

Fall 2026 principles for responsible AI use in legal education: course policies, learning goals, student use, faculty use, verification, confidentiality, and equity. facultystudent public
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AI Use Policy Templates

Professor Struve's attribution and disclosure model, with sample AI-use statements faculty can drop into syllabi. faculty public
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Teaching Examples and AI Demos

Reusable prompt patterns for class preparation, hypotheticals, practice problems, virtual course assistants, and AI-output critique. faculty public
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Building a Virtual TA for Your Course

Heron plus the design choices behind course-bounded virtual teaching assistants: corpus, citations, refusals, student expectations, privacy, maintenance, and assessment fit. faculty public

Student guidance

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1L Guidance on AI Use

Written for incoming 1Ls. How LLMs work, their strengths and weaknesses, the human-AI-human workflow, course rules, confidentiality, and prompting tips. student public
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AI Tips for 1Ls

Talking points for orientation sessions and 1L AI-introduction events. student public

Methods and practice

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Prompt Guide & Scenarios

A durable prompting framework for law-school and legal-work tasks, with worked examples for class preparation, practice questions, and legal research. facultystudent public
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Legal AI Tool Guide

A category-based guide to legal AI tools, focused on what different tool families do and how to evaluate outputs. facultystudent public