AI that reads contracts and answers questions - with citations.
From ingestion to risk-ranked summary in minutes. Any format, up to 500+ pages, with paragraph-level source citations on every answer.
Contracts were reviewed by hand, every time.
The legal and compliance team was reviewing vendor agreements, customer contracts, and partnership agreements manually. Each contract consumed hours of associate time - searching for specific clauses, comparing against a playbook, and building a risk summary.
The inconsistency was as much of a problem as the time. Different reviewers would focus on different clauses, apply the playbook differently, and produce summaries of varying depth.
Contract review was a bottleneck that couldn't scale with headcount - and the inconsistency introduced real legal risk.
End-to-end document intelligence with a mandatory human gate.
We built an agent that handles the full review workflow - ingestion, extraction, risk flagging, Q&A, and summary generation. Every answer cites the exact paragraph it came from.
The ingestion pipeline handles PDF, DOCX, and scanned documents through an OCR layer. Long documents (500+ pages) are chunked and indexed with a vector store.
Any-format ingestion
PDF, DOCX, scanned images. OCR pipeline handles handwritten addenda. Ingestion time under 2 minutes.
Key clause extraction
Automatically identifies payment terms, termination clauses, liability caps, IP ownership, auto-renewal provisions.
Playbook-based risk flagging
Each clause compared against a customizable company playbook. Non-standard provisions flagged with severity ratings.
Q&A with cited sources
Ask any question about a contract and get an answer with the exact paragraph citation.
Multi-document comparison
Compare two versions side-by-side, or compare against a signed reference template.
Structured summary export
Every review produces JSON summary with all extracted clauses, risk flags, and metadata. Exports to CSV.
Consistent, thorough reviews at a fraction of the time.
Review time per contract dropped by 70%. The agent now handles first-pass review on every new agreement - extracting clauses, flagging risks, and generating a structured summary.
How it's built.
Built on Claude's long-context window for full-document reasoning, with LlamaIndex managing the vector store and retrieval pipeline. All data stays in the client's infrastructure.
Contracts eating your team's time?
We can build a review agent tuned to your playbook, your formats, and your risk tolerance.