Legal AI with an audit trail, not a black box.
An audit trail gives a legal team a clear record of the work around an AI result: the person involved, the reason for the change, and the exact before and after.
The practical standard
For contract work, the useful question is rarely just whether AI produced a good suggestion. A team also needs to know what was accepted, what was changed, and who made the call. A complete record makes that information available without rebuilding the story from chat messages and file versions.
Before relying on legal AI output.
Attribute every change
Record whether a person or AI initiated the work, and identify the member who approved or changed it. Attribution creates a clear handover point and avoids anonymous edits.
Preserve the exact difference
Keep the text before and after an edit together with the reason for it. A reviewer should be able to inspect a clause without comparing separate exports by hand.
Make history part of the workflow
The record should sit beside review, redlining, drafting, and matter documents. History is useful when it is part of normal work, not a separate compliance task at the end.
See the work. Skip the black box.
Book a walkthrough with your own AI account and see the record build itself: every change saved with who, what, and when. Set up in minutes.