Notes on legal AI, written by people who have to make it work
Building a house playbook when your partners disagree on everything
A method for turning a shelf of closed matters into one tiered position document a partnership can actually live with — including what to do about the clauses nobody agrees on.
NDPA, NDPR and cross-border legal documents: what the regulation actually requires
A reading of the Nigerian data-protection position that matters to legal ops teams — which instrument is the primary statute, what a cross-border transfer is, and where an AI review sits in it.
The Lawyer Analysis Metric: documenting human supervision in-tenant
Why the audit trail needs to record who approved a finding, who overruled it, and under which supervision policy — and what that record is for.
Writing native Word revisions from a web task pane without corrupting styles
Why a redline has to arrive as real tracked changes in a real .docx, and the document-model problems that stand between a web app and that file.
Per-seat pricing is broken for legal AI, and here is the math
Why charging per lawyer makes firms hoard licences and kills adoption, and what a credit model has to get right to be better rather than merely different.
The sovereignty tier: running local inference for banking and government briefs
Hardware, latency and the honest tradeoffs of running the whole stack inside your own network — including the one requirement people try to skip.