4.8
on G2
Compare incoming contracts against the approved house document and check your required terms. Inspect cited wording and use a factory to repeat the review across the intake.
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Legal ops and procurement teams waste hours manually comparing incoming contracts to house standards, missing subtle deviations that create risk.
Real output
A real NDA intake illustrates this workflow: baseline results, rubric scores and the evidence behind individual findings.
19 baseline sections across the whole intake. The totals row shows where the drift is concentrated - section 1 differs in 4 of 6 documents.
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Baseline result, rubric score and a verdict with reasons help reviewers decide what to inspect next. People confirm the findings.
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Each criterion scores the share of its expectations met. Scores roll up by weight. Critical and high-severity failures are counted separately.
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Read the baseline and incoming agreement together. Verified quotations resolve to source text; inspect the interpretation before confirming the finding.
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Why Docsie
Use consistent references and inspectable evidence to support human review.
Use the approved baseline to organize differing, missing and extra content. Open both sides of a finding before deciding whether it matters.
Define expectations for the terms that matter. The model judges each expectation; code calculates scores and weighted totals from those judgments.
A factory gives each document a review verdict and reasons, plus its individual reports. False flags can occur on clean contracts, so people confirm findings and approval decisions.
Examples of review questions the workflow can support.
Product example: NDA baseline finding with quoted source evidence. Open the image to inspect the review output.
Run incoming NDAs and MSAs against your approved house document. Give the legal reviewer cited findings to inspect before deciding what is acceptable.
Product example: NDA requirements expectation checklist with contract evidence. Open the image to inspect the review output.
Compare the returned agreement against the approved reference and inspect the evidence behind the changes. Express acceptable variants as explicit rubric expectations where appropriate.
Product example: NDA factory rubric matrix. Open the image to inspect the review output.
Use a factory to apply the same approved baseline and rubric to each agreement in an intake. Inspect category scores and review reasons to prioritize the work.
Everything you need to review contracts against your house standard at scale.
Upload your approved template and compare any incoming contract to see exactly what's different, missing, or added.
Open the cited source text behind a finding and confirm its interpretation before accepting the result.
The model judges expectation coverage; code computes the share met and weighted score. A requirements check grades one body at a time.
Review multiple vendor proposals or track changes across negotiation rounds side-by-side with your standard.
Approve a sample to freeze the baseline and rubric, then repeat separate checks for each document and inspect its review reasons.
Prioritize review from each document’s verdict and cited findings. Confirm false flags before accepting a result.
Common Questions
What legal ops and procurement teams want to know about AI contract review.
Q: How long does it take to set up contract review for our house standard?
A: Import your approved house document, edit the requirement expectations and weights, then run a sample. Approval freezes the factory baseline and rubric; changing either requires a new approved sample.
Q: What if our house standard has approved fallback positions?
A: Express acceptable wording or ranges in your rubric expectations and inspect a representative sample. Docsie does not promise automated playbook negotiation or approval of fallback positions.
Q: Can we use this for contracts that aren't based on our template?
A: Yes. Compare 2–6 sources or grade one agreement against your required-term rubric. Use a factory to repeat separate checks for a larger intake.
Q: Where is our contract data stored and who can access it?
A: Workspace permissions govern access to Docsie content. Discuss contract confidentiality, processing and deployment requirements during the demo.
Q: How do we maintain an audit trail for contract approvals?
A: Reports retain cited findings and requirement scores. Export them to XLSX or CSV, or factory matrices to CSV. Your legal reviewer still makes and records the acceptance decision.
Q: Will clean documents pass without review?
A: Not reliably today. False flags can put clean documents into review. The factory triages every document with reasons; people confirm the findings before accepting the result.
Still have questions?
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