We coded 184,000 rejected redlines where the reviewer gave a reason. A third were correct and not worth the fight. Fewer than one in five reflected a misreading of the playbook. The rest are more interesting.
We built a 1,200-query benchmark to measure how much Recall loses when the question and the precedent are in different languages. German loses little. Mandarin loses some. Arabic loses more, and we think we know why.
Across 112 accounts onboarded since Review 4.0, median accept rate on proposed redlines rose from 71% in week one to 94% in week four. Here is how we count, what drives the curve and what it does not tell you.
Zero retention means we cannot read the contracts our model reviews. So how do we know it is improving? A method built on synthetic drafts, in-tenant scoring and a panel of lawyers who disagree.
