Written while building, not after.
Guides for the task in front of you, and perspectives on what it takes for a firm to change how the work is produced.
A first draft from your own precedents
Getting a usable first pass out of your own precedent bank rather than the model's training data — and the instruction structure that makes it repeatable.
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Checking citations before you rely on them
A verification pass you run on any AI-assisted research output, in about twenty minutes, that catches the three ways citations go wrong.
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Lawyers already know how to instruct precisely
They call it drafting. Specifying behaviour unambiguously, for a reader who will exploit any gap, is the same discipline — which means the starting point is further along than most training assumes.
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Pilots die quietly
Nobody cancels a failed AI pilot. The licences renew, the champion moves practice group, and the usage report stops being circulated.
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The first question is never which tool
It is whose tenancy the data sits in. Every decision worth making about legal AI is downstream of that one, and most procurement processes ask it last.
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Extracting the same fields across a document set
Pulling consistent, checkable data out of fifty agreements — and building the small answer key that tells you whether it worked.
Nothing matches that combination.