How to analyze a policy requirement with AI

Build a source-control card first

Before asking AI to interpret anything, record the source title, issuing authority, official URL, version or amendment date, effective period, jurisdiction, and the business facts being tested. Save the exact passage and its surrounding definitions. A search-result summary, vendor article, or old PDF may help discovery but should not be treated as the controlling text.

For United States federal regulations, the eCFR explains that it is an editorial compilation updated daily and is not itself the official legal edition. That distinction is a useful reminder to verify source status instead of assuming the most readable page is legally controlling. Policy teams should choose the appropriate authoritative source for their own jurisdiction and obtain qualified advice where interpretation carries legal consequences.

Convert prose into a requirement map

Ask AI to separate the text into five fields:

| Field | Question | | --- | --- | | Trigger | What event, status, or action activates the requirement? | | Subject | Which entity, person, system, or transaction is covered? | | Obligation | What must, must not, or may be done? | | Timing | What deadline, effective period, or recurrence applies? | | Qualification | Which definition, exception, threshold, or cross-reference changes the rule? |

Require a quotation or pinpoint reference for every extracted field. Tell the model to mark missing information as unknown and to list conflicting readings rather than choose one silently.

Worked synthetic example

Assume an internal policy says: “Beginning 1 October, business units must obtain security approval before deploying external generative-AI tools that process confidential data. Tools used only with public information are excluded.”

The requirement map would identify deployment of an external generative-AI tool with confidential data as the trigger; business units as the subject; prior security approval as the obligation; 1 October onward as the effective period; and public-information-only use as an exclusion. The fact file should then state the proposed tool, deployment date, data classification, processing route, and approving body.

An unsafe AI answer might say, “Every AI tool needs security approval.” That drops the external-tool, deployment, data-classification, and date conditions. The corrected analysis should instead say that the requirement appears to apply only if all trigger facts are satisfied, while any undefined terms or ambiguous data handling remain questions for the policy owner.

Test scope, time, and exceptions independently

Run four adversarial checks after the first analysis:

Also trace every cross-reference. Definitions and incorporated schedules can materially alter an apparently simple sentence.

• Scope reversal: Change one fact that determines coverage. Does the conclusion change for the stated reason?
• Date reversal: Move the event before the effective date or after a sunset date. Does the analysis preserve the time boundary?
• Exception test: Supply facts that meet an exclusion. Does the output evaluate the exclusion rather than repeat the main rule?
• Authority test: Replace the source with a summary. Does the workflow refuse to treat the summary as controlling?

Package the analysis for review

Deliver a one-page conclusion with confidence labels, followed by the requirement map, fact-to-element table, unresolved questions, and source log. Separate “text says,” “facts show,” and “analyst inference.” A human policy owner or qualified adviser should resolve ambiguity and approve consequential action.

Sources and claim map

The policy text and business facts above are synthetic. This method is educational, does not provide a legal conclusion or assurance of compliance, and cannot replace review by the accountable policy or legal owner.

• U.S. Government Publishing Office, Code of Federal Regulations: supports distinguishing an official publication from discovery aids and locating annual CFR editions.
• Office of the Federal Register, What is the eCFR?: supports the statement that the eCFR is updated and authoritative for research but is an unofficial editorial compilation.

Sources: [1] [2]