A public-source inventory of law-school responses to AI

How legal education is adapting to AI

Compare public policy and teaching-strategy records from 128 law schools, organized by the educational subjects their cited sources address.

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AI use for studying and learning

School-level rules or guidance about using AI for private, non-submitted study—for example, preparing outlines, reviewing case holdings or arguments, clarifying concepts, practicing, or using study materials. AI use during exams is excluded, as are rules focused only on submitted work.

What schools are doing: The catalogued approaches generally allow limited non-submitted study support while preserving independent judgment and accuracy checks. Several schools make those permissions subject to course-specific instructions.

Schools appear when a cited record expressly addresses this subject. A school omitted from a tab may still have an uncatalogued policy or practice; omission does not establish that the subject is unaddressed.

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22 schools in this topic

Law schools with cited records addressing AI use for studying and learning
Law schoolEvidence for this topicCatalogued recordsSources
American University Washington College of Law
Guidance

The law library identifies general-purpose language models as useful for early-stage exploration, summaries, brainstorming research strategies, and related study support, subject to independent verification.

Tech, Law & Security curriculum and faculty AI guidanceStrategy or initiative
Barry University Dwayne O. Andreas School of Law
In effect

The School of Law's 2025–26 handbook permits generative AI for exam preparation—for example, summarizing case law, creating outlines, or listing arguments—unless a professor adopts a different written course policy. AI use during an exam is prohibited.

2025–26 School of Law Student Handbook, Generative AI Use PolicyDirect policy
Boston College Law School
Guidance

The law library recommends personal research, initial brainstorming, identifying search terms, and developing Boolean searches as potential study uses, while emphasizing that professor-specific coursework rules control.

Required first-year AI pedagogy and faculty supportStrategy or initiative
BYU J. Reuben Clark Law School
Guidance

The Technology Committee's sample policies permit preparing for class, studying for exams, and brainstorming assignments, while cautioning students not to use AI as a substitute for assigned readings. The samples are nonbinding guidance.

Technology Committee recommendations and sample syllabus languageCommittee recommendation
Columbia Law School
In effect

Students may use AI for studying, brainstorming, preparing an exam outline, summarizing legal arguments, identifying a bibliography, and finding typographical errors, unless an instructor narrows the rule.

Interim Policy on Generative AI (updated August 1, 2025)Interim policy
DePaul University College of Law
Guidance

The Rinn Law Library provides student guidance on brainstorming, explaining complex concepts, developing outlines and research plans, creating study aids, prompting, verification, and responsible AI use.

AI in Legal Practice initiative and law-library guidanceStrategy or initiative
Harvard Law School
In effect

The 2025–26 Handbook of Academic Policies expressly permits students to prompt AI while studying for an exam about relevant topics or concepts, but not to have AI pre-write text that the student later incorporates into an exam answer.

2025–26 Handbook of Academic PoliciesDirect policy
Howard University School of Law
In effect

Section 400.4 encourages AI for learning, research, and grammar correction, but also states that any use not expressly authorized by the instructor is academic dishonesty. Any authorized use must be disclosed and cited, and AI may not compose submitted work.

Student Handbook (April 2025)Direct policy
Marquette University Law School
In effect

AI-enabled legal-research databases and similar research tools remain permitted unless the instructor restricts them. The regulations separately prohibit unauthorized AI use in preparing any assignment.

Academic Regulations, § 901 (August 2026)Direct policy
Mitchell Hamline School of Law
Guidance

The student AI guide distinguishes learning uses—checking reasoning, exploring doctrine, and generating practice problems—from using AI to produce academic work, and emphasizes course rules and ethical use.

AI curriculum coordination and law-library guidanceStrategy or initiative
New York Law School
Guidance

The Mendik Library's law-student guide explains AI tools and uses, prompt engineering, ethical use, and fact-checking so students can explore and evaluate AI outputs critically.

Coordinated AI curriculum, guidance, and faculty supportStrategy or initiative
Roger Williams University School of Law
In effect

The handbook permits database-style identification of research documents and spelling or grammar review while restricting broader AI assistance.

2025–26 Student HandbookDirect policy
St. Mary's University School of Law
In effect

The policy and FAQ permit AI for pre-exam study, including outline preparation, explanations of legal concepts and case holdings, and practice, subject to course-specific rules, accuracy verification, and the restriction on sharing professor-created or confidential materials.

2025–26 J.D. Student Handbook, AI Policy (effective September 15, 2025)Direct policy
Stanford Law School
In effect

Across all courses, including clinics, the default permits AI to support learning and to develop or refine a student's own ideas, subject to course-specific rules.

Use of Generative AI Technology (current page)Direct policy
Suffolk University Law School
Interim

As an interim measure for 2026–27, Suffolk will add a more robust AI session to orientation and distribute an evidence-informed guide to studying with AI. Separately, the Teaching Committee is charged with developing longer-term student training and resources.

Current academic rule and instruction; dean recommendations and proposed interim measuresDetailed topic source
The University of Texas School of Law
Guidance

The strategy identifies productive study uses and de-skilling risks but does not announce one school-wide rule for AI use in coursework.

Dean's strategy memorandum and AI Innovation and Law ProgramStrategy or initiative
UC Berkeley School of Law
In effect

Students may not upload assignments, readings, slides, class recordings, or other class content to generative AI systems, which restricts study uses that depend on those materials. The policy does not otherwise expressly address private, non-upload study uses.

Artificial Intelligence Policy (effective Summer 2026)Direct policy
School-wide policyDetailed topic source
University of Chicago Law School
In effect

Handbook § 4.9 permits pre-exam AI queries about a case holding or arguments for and against a legal position. The July 2026 strategy separately identifies clarification of background concepts and generation of practice problems as productive study uses. Course-specific instructions still control.

Handbook § 4.9 (revised Autumn 2025)Direct policy
Binding rule plus strategy statementDetailed topic source
University of Michigan Law School
Adopted—effective 2026–27

For 2026–27, AI may be used for studying and preparing for class or exams, subject to course rules.

Interim Policy on Student Use of Generative Artificial Intelligence (effective 2026–27)Interim policy
University of North Carolina School of Law
In effect

Unless a professor publishes different rules, the policy permits generative AI for purposes such as generating ideas or questions, finding paper topics, and assisting research; submitted assignments and assessments remain subject to a default prohibition.

Academic Standards, Generative AI Tool Use (updated August 2025)Direct policy
University of Tennessee College of Law
In effect

Unless a written course rule provides otherwise, students may use generative AI to study for exams, including preparing outlines and reviewing case holdings and legal arguments.

Policy on Generative AI (effective Spring 2025)Direct policy
William & Mary Law School
In effect

Students may use AI-generated study materials under the default policy, subject to written course-specific departures.

Default Generative AI Policy / 2025–26 Student Policy Handbook § 7.07Direct policy
Last updated: August 3, 2026Law schools referenced: 128Curated by Andrew Perlman

About this archive

Scope and method

Affiliation and scope

Andrew Perlman, the archive's curator, is dean of Suffolk University Law School, one of the schools represented here. The archive is comparative and does not endorse or rank the approaches it describes.

The national inventory includes law-school-wide student-use rules, school-level teaching strategies, guiding-principles documents, and AI instruction required across a cohort or degree program. It excludes generic university policies, individual syllabi, admissions-only rules, journal policies, and ordinary electives unless they form part of a broader strategy. The optional-curriculum category is limited to opportunities available to enrolled J.D. students and excludes standalone professional, CLE, executive-education, LL.M.-only, and other non-J.D. programs. Some law schools may nonetheless be governed by university-wide AI rules; excluding those general policies from this archive does not mean they do not apply to the school or its students.

Each topic uses the definition displayed above its table. Schools are included only when the catalogued source or source description expressly fits that definition; broad keyword matches are not used. A school may appear in several topics, and absence from a topic is not treated as evidence that the school lacks a policy or practice in that area.

Evidence labels use one status vocabulary: In effect for an operative measure, In effect; Pilot for an operative measure that retains a pilot or evaluation designation, and Adopted—effective 2026–27 for an adopted measure expressly tied to that academic year. Interim identifies a time-limited measure designated as temporary, Pilot a limited trial, and Proposed an announced or adopted measure that is not yet operative. Guidance for nonbinding recommendations or support. A Completed/limited label identifies a one-time or finite offering that has concluded or whose continuation is not established. The catalogued-record column separately identifies the type of policy, strategy, or initiative.

The school list was cross-checked against the ABA Council's current roster of approved law schools. This remains a source-driven inventory rather than a claim that every approved school has been exhaustively reviewed or has a public AI policy or strategy.

Use of AI and source verification

ChatGPT Sites was used extensively to research and build this archive. ChatGPT located many of the public sources, organized them into the topic categories, and helped draft and update the summaries. Andrew Perlman has not manually reviewed or independently confirmed every reference or every summary on the site.

As of the August 3, 2026 update, the linked public materials were checked against the displayed summaries and topic categories, and the archive was revised to reflect newly located and updated sources. Errors, stale links, and omissions may remain. Readers should consult the linked original sources and send any correction or missing material to aperlman@suffolk.edu.

Contribute to the archive

Have a document, correction, or omission to share?

This archive is intended to become more useful as the legal academy's approaches evolve. Please send policies, memos, syllabus models, or strategies that should be considered for inclusion. Andrew Perlman also welcomes corrections or notices of omissions concerning the documents and summaries already on the site. Please include the school name and any helpful context.

Documents may be hosted here for convenient access or linked to the school's own page when that is the more current source. Any school may ask for link-only treatment or request that its document or entry be removed.

aperlman@suffolk.edu