Less rekeying. More informed review.
Contracts, specifications and attachments often require people to copy the same information repeatedly. AI can prepare a structured review; its value depends on linking each extracted field to the supporting source.
The document remains authoritative
The pipeline validates file type and size, extracts text, separates meaningful passages and finds required fields. Scans need a separate OCR stage and measured error rates. Readable text is not automatically interpreted correctly.
- References to the section or page where the format permits.
- Missing values separated from inferred values.
- Human approval before writing into a system of record.
A bounded pilot
An illustrative example compares notice periods across sample contracts. A specialist checks clauses, exceptions and references. Measure field-level accuracy and review time, not simply generation speed.
Control the document lifecycle
Define who may ingest, read and delete documents, how long copies remain, and how source changes update the index. Begin with one document class and a defined output schema.
The information flow
- Approved document
- Extraction
- Review
- Business system
Models and documents run on your infrastructure. Network policies determine permitted connections.
Practical questions
Can AI approve contracts?
The proposed role is analysis and preparation. Authorised specialists retain legal and commercial decisions.
Are scanned PDFs supported?
They require an OCR module and evaluation against the actual scan quality. Support is scoped for each installation.