At closing, the signed SPA (Share/Stock Purchase Agreement) is the single source of truth for an M&A deal but the disclosure schedules and board consent are drafted separately, often by different people at different times, and routinely drift out of sync with it: a purchase price that doesn't match, a schedule referencing a section that doesn't exist, a board consent authorizing the wrong signatory. Today this is caught, if at all, by a senior lawyer manually cross-reading three documents side by side before they can even start applying judgment.
Verity takes the signed SPA as ground truth and checks the Disclosure Schedules and Board Consent against it across four checks Term Consistency, Cross-Reference Validity, Authority Match, and Completeness flagging every mismatch with its exact location in both documents and a plain-English explanation. An LLM extracts each document's key terms once; the actual comparison then runs as fast, deterministic code, with a rule-based judgment layer for the two checks that need semantic matching (e.g. recognizing "CFO" and "Chief Financial Officer" as the same office) so results are fast and consistent instead of one large prompt guessing at differences. Verity checks consistency, not legal correctness: it flags, and the senior lawyer stays the decision-maker.