Exercises /Source-Specific /Exercise 08

Regulation Walk-Through

Students use AI to enter a complex regulatory scheme, then follow the trail themselves. At each cross-reference, definition, exception, or agency-specific term, they decide whether AI can be used for orientation, whether the claim must be verified in the CFR or agency source, or whether the work should pivot entirely to the official regulatory text.

Pillar
Source-Specific
Time
30–45 min

Purpose

This exercise helps students see that regulatory research is not just “finding the rule.” It is navigating a structure.

Students begin with an AI-generated overview of a regulatory question, then move into the CFR, eCFR, or agency materials to test the path the AI suggests. At each cross-reference, definition, exception, or threshold, students decide whether to trust the AI for orientation, verify the point in the source, or pivot away from AI and work directly from the regulatory text.

The point is not to make students experts in the regulatory scheme. The point is to help them recognize when AI is useful as a navigation aid and when the legal answer depends on exact regulatory text, definitions, exceptions, agency source material, or incorporated requirements.

Learning Goals

By the end of this exercise, students should be able to:

  1. Use AI to generate an initial map of a regulatory scheme without treating that map as authority.
  2. Identify cross-references, definitions, exceptions, thresholds, and scope provisions that require source-level verification.
  3. Decide when to trust AI for orientation, when to verify a specific claim, and when to pivot to the CFR, eCFR, or agency source directly.
  4. Explain why regulatory research often requires following a chain of provisions rather than reading one rule in isolation.
  5. Document the research path from AI overview to official or authoritative source.
  6. Identify one next verification step before relying on a regulatory answer.

Materials

  • A short regulatory research question.
  • Access to an AI tool for initial orientation.
  • Access to the CFR, eCFR, agency websites, or a legal research platform containing regulatory materials.
  • A regulation walk-through worksheet with the following fields:
    • Regulatory question.
    • AI’s initial answer.
    • Starting regulation or agency source.
    • Cross-reference, definition, exception, or threshold found.
    • What AI said about it.
    • Decision: trust, verify, or pivot.
    • Source checked.
    • What changed after checking the source.
    • Next verification step.
  • Optional instructor materials: preselected regulatory topic, starting CFR section or agency page, sample AI answer, and model walk-through.

Setup

This exercise works best after students have been introduced to the idea that statutes and regulations create special problems for AI because of structure, version control, cross-references, definitions, exceptions, and source provenance.

The instructor should provide a narrow regulatory question and, ideally, a starting source. The goal is not for students to spend the whole exercise finding the right regulatory scheme. The goal is for them to practice moving through the scheme responsibly.

Good regulatory topics include:

  • Employment regulations, FLSA exemptions, independent contractor tests, FMLA eligibility.
  • Privacy and security regulations, HIPAA definitions, FERPA exceptions, GLBA safeguards.
  • Environmental, health, and safety regulations, OSHA definitions, EPA reporting thresholds.

The best topics are not necessarily the most complex. They are topics where a student can quickly see that the answer depends on definitions, exceptions, thresholds, cross-references, or agency-specific language.

Run of Show

Total, approximately 30–45 minutes

  1. Frame the task Explain that students are using AI as a navigation assistant, not as the source of regulatory authority. Their job is to test the path the AI provides.
  2. Generate or review the AI overview Students either ask AI for an overview of the regulatory question or review a pre-generated AI answer. They identify the provisions, definitions, exceptions, or agency materials the AI says matter.
  3. Open the official source Students move to the CFR, eCFR, agency website, or legal research platform. They locate the starting provision or agency source.
  4. Stop at every cross-reference As students read, they stop whenever the text points them elsewhere: definitions, exceptions, incorporated provisions, thresholds, related subparts, agency guidance, or other cross-referenced material.
  5. Choose: trust, verify, or pivot For each stopping point, students decide. Trust: AI is useful only for orientation, and the point is not yet authority-dependent. Verify: the AI made a specific claim that must be checked in the regulation, definition, agency source, or related provision. Pivot: the answer depends too heavily on the exact regulatory structure, so the student should leave AI and work directly from the official source.
  6. Document the route Students record the path they followed: the AI answer, the starting source, the cross-references checked, what changed after verification, and what remains uncertain.
  7. Debrief Class discussion focuses on where AI helped, where it became risky, and where students had to pivot to the regulatory text.

Student Instructions

You are using AI to help orient yourself to a regulatory question. Your task is not to accept the AI answer. Your task is to walk the regulatory path and decide where AI is useful and where source-level verification is required.

Start by reading the regulatory question and the AI overview. Then open the CFR, eCFR, agency source, or assigned legal research platform.

As you work, stop at every:

  • Definition.
  • Exception.
  • Threshold.
  • Cross-reference.
  • Scope provision.
  • Agency-specific term.
  • Incorporated requirement.

For each stopping point, decide whether to trust, verify, or pivot. Trust means AI is helping you understand the landscape, but you are not relying on it as authority. Verify means the AI made a claim that must be checked against the regulatory text or agency source. Pivot means the answer depends on the source itself, so continuing to ask AI is less useful than reading the regulation directly.

Submit a short worksheet or note identifying:

  • Where AI helped you get oriented.
  • Where you had to verify a claim.
  • Where you had to pivot to the official source.
  • One thing that changed after checking the regulation.
  • One next step before relying on the answer.

Instructor Notes

The teaching value of this exercise comes from slowing students down at the exact places regulatory research becomes risky.

AI often gives a smooth summary of a regulatory scheme. That can be useful at the beginning. But regulatory answers frequently turn on definitions, exceptions, thresholds, cross-references, agency terminology, or incorporated standards. Those are the points where AI’s summary can become dangerous.

Students may initially treat cross-references as clutter. Push them to see cross-references as the research path. In regulatory research, the controlling answer may not be in the first provision they read.

Common issues to watch for:

  • Students may rely on AI’s summary without checking the cited regulation.
  • Students may read one provision without following definitions or exceptions.
  • Students may miss scope provisions that limit when the rule applies.
  • Students may overlook thresholds, timing rules, or incorporated standards.
  • Students may treat agency guidance, regulations, and statutes as interchangeable.
  • Students may fail to document the path they followed.

Strong student work usually shows:

  • A clear starting regulatory question.
  • A documented move from AI overview to official or authoritative source.
  • Identification of cross-references, definitions, exceptions, or thresholds.
  • A justified trust, verify, or pivot decision.
  • Recognition that AI can help navigate but not replace source-level regulatory research.
  • A concrete next verification step.

Adaptation

Here are some suggestions on how to adapt this in other teaching contexts. The adaptations below have been limited to firm trainings and asynchronous suggestions, but there are other possible adaptations for workshops, seminars, and other contexts. Be creative!

Firm training / CLE
Use a regulation from the audience’s practice area. Ask participants to identify where their organization’s AI-use policy would require source verification or human review.
Asynchronous
Students complete the walk-through independently and submit a short note explaining where AI helped, where they verified, and where they pivoted.