Data Extractor
Turn a folder of contracts into a structured table: parties, dates, clauses, caps. Run across hundreds of documents in one batch. Output is a spreadsheet, not a chat transcript.
Contract review withoutthe contract review.
A source-grounded workspace for legal teams: extract clauses from hundreds of agreements, flag deviations from your gold-standard templates, run due diligence at speed without losing defensibility.
No credit card. Confidentiality assured by architecture.
Billable judgment buried under tedious review.
M&A data rooms. Discovery doc sets. Contract review for a portfolio of 200 vendor agreements. The judgment that makes you valuable is buried under hours of reading you don't want to do, and your client doesn't want to pay for.
The job isn't reading faster. It's not reading at all when reading isn't the work.
A due-diligence morning in 30 minutes.
Drop 200 agreements into a dataset. Run the Data Extractor with your standard schema: parties, effective dates, termination, liability caps, change-of-control. Get a spreadsheet you'd hand an associate. Now spend the morning on the deals that warrant judgment, not on the bookkeeping.
How legal teams use it
Built for how you actually work.
Blueprint
Audit third-party agreements against your firm's gold-standard templates. docAnalyzer flags material deviations, missing protective clauses, and unfavorable terms, so you negotiate from knowledge.
Smart Search & Selection
Describe what you need to surface ("Agreements with Change of Control provisions", "Contracts requiring outside-counsel review") and pull the matching set in seconds. Triage before you read.
What legal teams push on hardest.
Client confidentiality is non-negotiable.
Per-tenant isolation, no training on customer content, session-scoped artifacts. Your data is yours: visible only to your authenticated users, never pooled across customers.
If the AI is wrong on a clause, the answer is worthless.
Every cited claim is clickable. One click opens the agreement at the exact section. Verification is faster than guesswork. Turn the context-adherence dial high to keep the model strictly inside your repository.
Our agreements span multiple formats and 500-page exhibits.
PDFs, Word, scanned docs (OCR'd automatically), Excel exhibits: all indexed once at upload, so search time grows much slower than your dataset and the same workflows work across formats.
Guides
- How to audit a closing binder with AI Match a folder of closing documents against the checklist row by row, find the rows nothing satisfies, and hand over a workpaper that says which document answers each row and where. Read the guide
- How to review a title search package with AI Use AI to draft the review workpapers from a package you have already searched, then verify each row against the recorded images. Read the guide
Frequently Asked Questions
Can I extract clauses across hundreds of agreements?
That is the Data Extractor. It turns a folder of contracts into a structured table of parties, dates and clause terms, in one pass rather than one contract at a time.
Can I audit third-party paper against our template?
Blueprint runs third-party agreements against your firm's gold-standard template and flags where they deviate, which is the review you would otherwise do line by line.
Can I surface agreements matching a specific condition?
Smart Search and Selection takes the condition in plain English, such as agreements carrying a change of control provision, and assembles that set.
Is the output defensible?
Every cited claim is a clickable reference that opens the agreement at the exact page or section, and a context-adherence control lets you keep answers strictly inside the documents. You can check the work before you sign off on it.
Is privileged material safe?
It is never used to train models, never augmented with open web results, and isolated per tenant by row-level security. The security page names every processor, including which model provider receives a request and where it operates from.
How large can a contract set be?
Per-file limits reach 500 MB depending on plan, with per-seat storage up to 50 GB, and a dataset of fifty or more agreements is routine.