AI is now a firm risk the malpractice carrier prices.
Tokto gives the firm's risk and compliance officer one record that ties every AI tool, every prompt, and every model output to a matter, an attorney, and a privilege designation, ready for the bar, the malpractice carrier, the client, and the firm's risk committee.
The bar opens an inquiry after a hallucinated-citation sanction. The malpractice carrier asks for a sample AI history at renewal. The risk committee asks the firm's risk officer for AI exposure across practice groups. The answer is four vendor dashboards, a 30-day retention window, and no record that an output was ever verified.
- Every AI interaction scored and recorded against a matter, an attorney, a client, a model version, and a privilege designation.
- A single evidence layer that the bar, the malpractice carrier, the client GC, and the risk committee read against the same record.
- Policy enforced at the prompt: privilege protected, client identifiers redacted, ethical walls enforced before tokens leave the boundary.
- AI risk that is measured by practice, controlled at the prompt, and attestable to the carrier and the partnership.
- AI risk is never measured. The first signal is a sanction in the trade press.
- An associate's tool log is gone and the vendor's retention is 30 days. The control gap is the sanction.
- A vendor co-pilot retains client data past the engagement's destruction window. The register never flagged it.
- The carrier asks for a sample AI history at renewal. The firm sends screenshots. The premium jumps.
Tokto turns AI from an uninsured exposure into a managed control. Every research co-pilot, every drafting assistant, every contract-review tool becomes a scored record at the moment of output, tied to the matter, the attorney, the client, the privilege designation, and the verification step. The risk function sees AI exposure by practice group.
When the bar asks how the firm enforces its AI duties, when the carrier asks for evidence at renewal, when a malpractice claim turns on whether a junior verified a model output, the answer is one query against the system of record. The CRO reports AI risk the way conflicts and trust-account risk are reported.