Teaching AI‑Augmented Legal Research

Generative AI changes the tools of legal research, but not the lawyer’s responsibility for accuracy, authority, confidentiality, and judgment. The materials here exist for a single premise: students should learn to evaluate AI before they learn to rely on it.

This site shares materials from an AI legal research class, designed so educators can adapt the content to fit their own teaching needs, students, formats, and institutional settings. Built by a law librarian for law librarians and legal educators, it supports instructors teaching legal research and AI literacy in law schools, law firms, public-interest and government settings, clinics, and CLE programs.

5
Teaching pillars
12
Reusable exercises
9
Course skills mapped
7
Adaptable formats
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What are the five teaching pillars?

Pillar I

Foundations

What changes, and what does not change, when AI enters legal research.

5 exercises · 2 notes
Pillar II

Confidentiality & Ethics

Client-data sanitization, privacy, competence, candor, disclosure, and tool choice.

1 exercise · 1 note
Pillar III

Source-Specific Research

Case law, statutes, regulations, and secondary sources, how AI performs differently across each.

3 exercises · 0 notes
Pillar IV

Drafting & Communication

Using AI to generate, revise, critique, and adapt legal work product without delegating judgment.

2 exercises · 0 notes
Pillar V

Verification & Workflow

Hallucination detection, authority checking, research documentation, responsible hybrid workflows.

2 exercises · 2 notes
In progress
This is a working release. More exercises and teaching notes are coming soon, the pillars above will fill out as new materials are published. Check back soon.
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How to use these materials

If you are designing a new course, start with The Course for the arc and the learning outcomes, then read the Teaching Notes on evaluation-before-fluency and confidentiality sequencing before you reach for the exercise library.

If you need help structuring an agenda to build a one-off session, a CLE, asynch training, or firm training, skip directly to Build a Session and build a custom teaching plan.

If you are integrating a single activity into an existing course, the exercise library is filterable by pillar, time, format, and audience. Every activity page includes a setup, instructor notes, and at least three adaptation paths.

If you are interested in reading about some of the pedagogical elements of the course and the decision-making behind this course’s structure and implementation, navigate to Teaching Notes to read short musings about the course.