Turn contracts into usable facts
AI proposes. People verify. The graph records which happened.
Reading a folder of contracts to find the assignment clauses is exactly the work a model is good at. Deciding that a clause transfers ownership is not. Extraction produces proposed facts; the configured human verification workflow decides whether they become trusted.
AI-Assisted Contract Extraction
- Party & date extraction
- Clause detection
- Proposed relationships
- Human approval workflow
How it helps
What you get with AI-Assisted Contract Extraction
Proposals are visibly proposals
An extracted fact enters as a proposed assertion with its source passage attached, and is never silently promoted to verified.
The reviewer is recorded
Who verified a material fact, when, and on what basis becomes part of the audit history.
Wrong is cheap, silent is expensive
A rejected proposal costs a click. An unreviewed one that became a legal conclusion costs considerably more.
Agreements, Rights & Licences
The rest of Agreements, Rights & Licences
Normalize the rights, restrictions and obligations created by contracts so the graph can reason over them.
Agreement Registry
Centralize assignments, licences, contractor agreements, service agreements and other IP-relevant contracts.
Learn moreLicence Grants
Model structured licence rights between entities and third parties.
Learn moreRights & Obligations
Turn contractual consequences into records the platform can monitor.
Learn moreTransfer & Change-of-Control Restrictions
Surface clauses that may affect a sale, spin-out or reorganization.
Learn moreBuild the ownership record before somebody asks for it.
Register what exists, connect the relationships, attach the evidence. The answer you need under deadline is the one you maintained beforehand.
Evidence-backed relationships Multi-entity by design Built for transfer and diligence