AI frameworks and agent build
Find every obligation, clause and change, with the page it came from
Contracts, supply agreements, regulatory documents, standards, quality records: legal, procurement and compliance teams spend their time finding what the documents say. Document intelligence extracts it, cross-references it and monitors it for change, with a citation on every answer.
The single contract repository nobody has
In discovery, procurement, sales and legal ask for the same thing in different words: one place where the contracts live, with the obligations, renewal dates, pricing terms and customer-specific commitments findable. Manual contract review is slow and error-prone, key clauses get missed, and the compliance team tracks regulatory requirements by hand and risks missing an update. The same pattern appears in quality and regulatory documentation in manufacturing, pharma and food.
Document intelligence is the knowledge-assistant framework applied to documents with structure and obligations in them: extraction against a schema rather than free-text search, cross-referencing across documents, and change monitoring, all with citations enforced.
Extract, cross-reference, monitor
Clause and obligation extraction
Parties, terms, renewal and notice dates, pricing and indexation, service levels, liabilities, customer-specific commitments, extracted into a structure your teams can search and report on.
Cross-referencing
Which customer agreements carry which obligations, which supplier terms conflict with which, which standard a specification cites, answered across the whole set rather than one document at a time.
Change monitoring
Regulatory and standards updates matched against the documents and obligations they affect, flagged to the owner with the source.
Review support
A first-pass review of an incoming contract against your playbook, with deviations highlighted and cited, for a person to decide on.
Reporting
Renewals due, obligations by customer, exposure by clause type, from the extracted structure rather than a spreadsheet maintained by hand.
Access control and audit
Retrieval filtered by permission, every answer logged with its sources, so nobody sees a document they could not open and every output can be checked.
Start with one document set
Two weeks of scoping: the document set, its owners and permissions, the extraction schema, the questions the teams actually ask, and the evaluation set. Four to eight weeks of build and validation against documents your experts have already reviewed. Then widening to further sets. Scoped and fixed before build;
About document intelligence
Is this legal advice?
No. It extracts, cross-references and flags; your lawyers, procurement and compliance teams decide. Every output cites its source so the decision is made on the document, not on the agent's summary.
How accurate is extraction?
Measured on your documents against your experts' review, not claimed in the abstract. The evaluation set is built from documents already reviewed, and accuracy by clause type is reported before anything goes live.
Can it handle scanned and legacy documents?
Yes, with OCR in the ingestion pipeline and lower confidence flagged on anything the OCR is unsure of, so a person checks the hard pages.