Multimodal AI
Automated Contract Review
Contract review automation is a document analysis system that reads incoming contracts, whether scanned PDFs or native text, and flags clauses that deviate from approved templates so legal or procurement staff can focus review time on the parts that actually need attention, instead of rereading boilerplate language that never changes.
01The problem in plain terms
Legal and procurement teams review vendor and customer contracts line by line looking for unfavorable terms on liability, payment, and termination. Most contracts are 90% boilerplate matching a known template, but a reviewer still has to read the whole document to find the 10% that changed.
Companies signing dozens of contracts a month, tracked in DocuSign or Ironclad, often have a single attorney or paralegal as the bottleneck, which slows down deal closing while contracts sit in a review queue.
02At a glance
| Spec | Detail |
|---|---|
| Maps to | Multimodal AI |
| Manual cost | $150-$400 per contract in attorney or paralegal time, typical |
| Typical timeline | 5-8 weeks |
| Typical price band | $18,000-$45,000 setup, plus monthly usage fee |
| Systems involved | DocuSign, Ironclad, Outlook, Gmail |
03How the review works
- Step 01
Ingest the document
Contracts arrive as PDFs or scanned images from DocuSign, Ironclad, or an email attachment in Outlook or Gmail.
- Step 02
Read and structure
A document model extracts text from both native PDFs and scanned images, then breaks the contract into clauses by section.
- Step 03
Compare to the baseline
Each clause is compared against the company's approved template and standard fallback positions on liability, indemnification, and termination.
- Step 04
Flag deviations
Clauses that differ meaningfully from the baseline are flagged with a summary of what changed and why it matters.
- Step 05
Route for human sign-off
A reviewer sees a short list of flagged clauses instead of the full document, and approves or edits before signature in DocuSign or Ironclad.
04What this saves
Faster turnaround
Standard contracts with no unusual terms can clear review in under an hour instead of sitting in a queue for days.
Focused attorney time
Reviewers spend time on the clauses that actually changed instead of rereading boilerplate.
Consistent flagging criteria
The same risk criteria get applied to every contract, regardless of which reviewer is available that day.
05An honest limit
The system flags deviations from a known template well, but it is not a substitute for legal judgment on genuinely novel contract structures or high-stakes deals. Scanned documents with poor image quality also reduce extraction accuracy, and an attorney should still read the full document on any contract above a defined dollar threshold.
Test it against a real contract
Send us a redacted sample contract and your standard template so we can show you what gets flagged.
FAQQuestions
Common questions
Can this approve contracts without a human?
No. It flags deviations for a person to review; it does not approve or sign anything on its own.
Does it work with scanned paper contracts?
Yes, though extraction accuracy depends on scan quality, and poor scans need a manual fallback.
How does it know what counts as a risky clause?
It is configured during setup against your approved template and fallback positions, which your legal team defines.
Can it handle contracts in languages other than English?
Support depends on the underlying model's language coverage and is scoped on a case-by-case basis during setup.
Last reviewed 2026-08-16
NEXTRelated pages
Solutions
- Multimodal AI
Multimodal AI works with inputs beyond text: scanned documents, photographs, audio, video, and sensor readings. Lingows AI builds production systems that extract structure from those inputs, route the result into business workflows, and generate media where a business needs it at volume.
Industries
- AI Implementation for Law Firms and Legal Departments
A legal AI agent is a system that drafts, summarizes, or routes matter documents such as intake forms, discovery batches, or contract redlines while respecting attorney-client privilege boundaries and firm conflict-of-interest rules, with an attorney reviewing anything that leaves the firm's document management system.
Scope contract review for your volume
Bring the monthly volume, the systems involved, and who reviews the output today. Lingows AI will return a build scope, a timeline range, and a running cost.