CCCiteCanon

Legal Q&A

What to Save in an AI Legal Research Audit Trail

An AI research audit trail should make verification visible. The point is not to save every prompt forever; it is to preserve the sources checked, citations blocked, and final reviewed work product.

Reader intent

A lawyer wants to know what records to keep when using AI-assisted research or drafting.

Key takeaways

Save source links and verification timestamps.

Record blocked citations instead of deleting the evidence of review.

Keep final attorney-reviewed work separate from draft AI output.

Minimum record

The minimum useful record is the research question, retrieved sources, verified citations, blocked citations, timestamp, and the final reviewed version.

  • Session id and user.
  • Sources opened or retrieved.
  • Citations checked and blocked.

Why blocked citations matter

A blocked citation is evidence that the workflow caught a problem before filing. Hiding the blocked event makes the review process harder to reconstruct later.

  • Keep the failure reason.
  • Attach replacement research when available.
  • Do not export blocked work as final.

Retention posture

During a beta, teams should be conservative with confidential facts. Save enough metadata for reliability, but avoid pasting secrets unless the storage model is acceptable for the matter.

  • Use matter-neutral questions when possible.
  • Avoid unnecessary client identifiers.
  • Review privacy and firm technology policies.

Frequently Asked Questions

Should every prompt be saved?

Not always. The more important record is the source and citation verification path behind the answer.