Deal documents contain the most consequential data in your organisation. Syntheia builds the infrastructure to treat them that way.

Most legal AI tools generate output by asking a model to read a document and infer what it says. The result is fast, often useful, and probabilistic. At the provision level — where obligations actually live — that uncertainty compounds.

Syntheia does something different. We extract hierarchical, nested, source-attributed clause data from transactional documents across every format: PDF, Word, scanned agreements, inconsistently formatted files. The structure is preserved. The source is attached. The data is deterministic — the text returned is the text in the document.

That extraction layer is what our products are built on, and what we make available to legaltech companies and sophisticated law firms through our API.

Super Comparer (supercomparer.com) — provision-level document comparison in Microsoft Word. Used by AmLaw 100 firms for third-party paper review. Includes Smart Drafter for clause-level precedent search against a firm's own executed agreements.

Fund Curator (fundcurator.com) — structured data from side letters, MFN elections, and LP provisions across an entire fund's investor base. Built for in-house teams at private funds where a single misread clause creates liability at scale.

Built for the moment when "close enough" isn't good enough.

Syntheia

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