Not every use of AI in legal work needs to be documented in the same way. But there are instances where keeping a clear record really matters.
For example, where AI is being used to help make decisions that affect people’s lives, rights, access to services, employment, finances, immigration status, or legal position.
In those contexts, it is not enough to say: “we used AI as part of the process.” You need to be able to explain what actually happened.
What tool was used.
What materials were uploaded or pasted in.
What the tool was asked to do.
What output it produced.
How that output was checked.
What was relied on, and what was not.
That is what I had in mind when building the AI Audit Trail skill, available on Lawve AI.
It helps create a structured record of AI-assisted legal work, including prompts, inputs, outputs, verification steps, reliance, and risk flags.
The point is not to create paperwork for its own sake. It is to make sure that, where AI use impacts decisions that affect people, there is a clear record of how the tool was used and how the output was treated.