Never used for training.
Policies, claims, and outputs stay in your isolated tenant. We never use customer documents to train models — not for fine-tuning, not for evals, not ever.
The Policy Compiler bookmarks every section of a policy and shows exactly what each endorsement changed — with an audit trail behind every edit.
The Aggregate Limit shall be USD 25,000,000 USD 50,000,000 per Policy Year, which amount shall be the maximum amount payable by the Insurer for all Damages on account of all Occurrences taking place during the Policy Period, regardless of the number of Insureds or claims made.
The Aggregate Limit shall be reduced by Loss Adjustment Expenses incurred in connection with covered claims, subject to the Notice Provisions in §7.1 and the reservation set forth in E-008 §3(b).
"Cyber Incident" means any unauthorized access to, disruption of, or compromise of an Insured's computer systems, networks, or data, including but not limited to ransomware, denial-of-service, data exfiltration, and any event triggering a notification obligation under applicable privacy law.
Policies, claims, and outputs stay in your isolated tenant. We never use customer documents to train models — not for fine-tuning, not for evals, not ever.
Every conclusion links back to the exact clause and page. No phantom quotes. No hallucinated cites. The model can't make a claim it can't ground in your document.
The product was designed alongside practicing coverage counsel — not retrofitted from a generic AI chat tool. Lawyer-level first-pass review, with the attorney still in the loop.
We're onboarding a small group of firms this quarter. Each beta firm gets a dedicated setup session using their own policies — not a canned demo.