Draft 3.8: draft in English, deliver in 38 languages
Draft 3.8 produces a delivery-language version alongside the working draft, with locked defined terms, a parity check on every clause, and a confidence tier per language.
Draft 3.8 produces a delivery-language version alongside the working draft, with locked defined terms, a parity check on every clause, and a confidence tier per language.
Review 4.1 reads governing law, forum, arbitration seat and the schedules together and flags where they disagree. Also: Counsel in the background pass, and quieter Note flags.
Recall 2.6 anchors every citation to the source-language clause, so a pinpoint reference stays valid whichever of the 38 languages you read the answer in.
After a year in limited release, Simulation is open to all accounts: an AI tribunal, opposing counsel and witnesses, scorecards you can argue with, and 22 venues modelled.
Review 4.0 remembers which redlines you declined on this matter and stops proposing them. Nothing leaves the matter, and nothing reaches the playbook unless its owner puts it there.
Draft 3.6 introduces the deal-point form: answer the twenty or so questions that actually vary between deals, and Draft composes the rest from the playbook and voice profile. What it asks, what it assumes, where to be careful.
Recall 2.5 adds the trace view: for every answer, the exact passages it rests on, the documents they came from, the permission path that allowed them, and the steps between question and answer.
AI Interview moves from limited preview to general availability. It conducts a first client-intake conversation, by voice or text, in 38 languages, and produces a structured brief with limitation dates and a conflict check.
Review 3.8 replaces our custom annotation layer in Word with the native comments and tracked-changes APIs. Flags are now real Word comments; redlines are real tracked changes. What that fixes, and what it costs.
Draft 3.4 learns a firm’s drafting voice from its own closed deals: defined-term conventions, sentence rhythm, preferred constructions. What it learns, what it ignores, and how to check its work.