Legal AI

No. The system is built to flag clauses, risks, and precedent for a lawyer to review and decide on, cutting the time spent on first-pass reading rather than replacing legal judgment. Every output routes to a human for final sign-off, and we design the workflow so that's structurally impossible to skip.

We scope data handling, access controls, and retention against your firm's specific confidentiality and privilege obligations before writing any code, since these vary by jurisdiction and practice area. Documents stay within infrastructure you control or approve, and we build clear boundaries around what the AI model can retain or use for further training.

Initial training on a specific document type, like a standard commercial contract template, typically takes 4 to 6 weeks including validation against your team's own review standards. Firms with more varied document types or practice areas need a longer calibration phase, which we scope after reviewing a sample of your actual documents.

Generic tools apply broad legal-language patterns that don't reflect your firm's specific templates, risk tolerances, or precedent library, which means they either over-flag routine language or miss what your firm actually cares about. We train on your real documents and calibrate flagging thresholds against how your lawyers already review, so the tool matches your firm's standards instead of a generic one.