Contract Review with AI: What Actually Works in 2026
Contract review is one of the highest-volume, most repetitive tasks in legal practice. Associates spend hundreds of hours reading agreements, identifying key terms, flagging risks, and summarizing provisions across portfolios that can span thousands of documents. It's essential work. It's also work that AI handles exceptionally well.
The Current Pain Point
A typical M&A due diligence project might involve reviewing 500+ contracts to identify change of control provisions, assignment clauses, termination rights, and indemnification terms. At an associate rate, this represents tens of thousands of dollars in review costs and weeks of calendar time.
The work isn't intellectually complex for each individual contract — it's the volume that creates the burden. An associate reading their 200th vendor agreement isn't applying deep legal judgment. They're scanning for specific clause types and extracting terms. It's pattern matching at scale, which is precisely what AI does best.
How AI Contract Review Works
With Scrivly, the workflow transforms. Upload the entire contract portfolio to a dedicated matter workspace. Scrivly indexes every document, maintaining isolation from other matters.
Ask targeted questions across the portfolio. "Which agreements contain non-compete clauses?" returns a list of specific contracts with citations to the exact clause locations. "What are the termination-for-convenience terms across all vendor agreements?" returns a comparative summary with source references for each contract.
Ask risk-identification questions. "Which contracts allow assignment without consent?" identifies potential issues with specific document references. "Are there any agreements with uncapped indemnification?" flags risk areas instantly.
Generate summary tables. "Create a table of all contracts showing counterparty, effective date, term, renewal provisions, and governing law." Scrivly extracts these data points from each agreement and presents them in structured format with citations.
The Impact on Review Time
The transformation isn't about replacing associate judgment. Associates still review flagged provisions, assess risk in context, and make recommendations. What changes is how they spend their time.
Without AI, an associate reads every page of every contract to find relevant provisions. With Scrivly, the associate starts with AI-extracted provisions and citations, then applies judgment to the material that matters. The reading-and-extraction phase compresses from weeks to hours. The analysis phase remains human-driven but is now informed by comprehensive, cited data.
For a 500-contract portfolio, this can reduce total review time by 60-80% — not by skipping work, but by eliminating the manual scanning that precedes the real analysis.
Quality Considerations
AI contract review raises legitimate quality questions. How do you know the AI didn't miss a relevant clause? How do you verify that extracted terms are accurate?
Scrivly addresses this through citation traceability. Every extracted provision links to a specific location in a specific document. Associates can spot-check any extraction by clicking through to the source. The AI's work is auditable at every point.
This isn't a black box that produces summaries from nowhere. It's a retrieval system that shows its work, the same way a well-trained associate would include document references in a review memo.
Frequently Asked Questions
Can Scrivly review contracts in languages other than English? Scrivly is optimized for English-language documents. Contact us for information about multilingual capabilities.
Does Scrivly replace associates for contract review? No. Scrivly replaces the manual scanning phase. Associates still review flagged provisions, assess risk, and make recommendations. They do it faster with better source material.
What contract formats does Scrivly support? PDF and Word documents are standard. Scrivly processes the formats commonly used in legal practice.
Can Scrivly compare terms across multiple contracts? Yes. Comparative analysis across a portfolio is one of Scrivly's core capabilities. Ask a question about any provision type across all documents in a matter.
Frequently Asked Questions
Yes, for well-defined tasks. AI excels at identifying specific clauses, comparing terms across documents, flagging deviations from standard language, and extracting key provisions.
No. AI handles the systematic, pattern-matching aspects of contract review. Attorneys handle judgment, strategy, and context-dependent analysis.