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Use Case

AI Contract Review and Risk Analysis

Contract review is one of the highest-volume, most time-consuming tasks in legal. AI handles the first pass in minutes, so attorneys focus their time on the issues that actually require judgment.

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The Challenge

Legal teams — both law firms and in-house counsel — spend enormous time reading contracts that are largely similar to contracts they have read before. The task is to identify the clauses that deviate from standard positions, extract key commercial terms, and flag risk issues. A trained AI does this faster and more consistently than a first-year associate reading the same document for the first time.

Our Approach

We build AI contract review systems that read contracts against your negotiation playbook, extract structured data from key clauses, identify deviations from your standard positions, generate redline suggestions, and produce a summary report that lets attorneys begin their review with full context rather than starting from page one.

How We Do It

1

Playbook Configuration

We work with your legal team to encode your negotiation playbook — acceptable positions, fallback positions, non-negotiable terms, and escalation triggers — into the system. This configuration is specific to your organization, your standard contract types, and your risk tolerance.

2

Clause Extraction and Classification

AI reads the contract and extracts every material clause, classifies it by type — indemnification, limitation of liability, IP assignment, data protection, termination — and records the contract's position on each. Missing standard clauses are flagged as gaps.

3

Deviation and Risk Identification

Each extracted clause is compared against your playbook positions. Deviations are classified by severity — acceptable, requires negotiation, escalate to senior attorney — and flagged in a structured review report. The AI cites the exact contract language that triggered each flag.

4

Redline Generation and Summary Report

For flagged clauses, the AI generates suggested redline language aligned with your playbook fallback positions. A review summary lists every flag, the risk level, the current contract position, and the suggested alternative. Attorneys review the summary and work from AI-generated redlines rather than drafting from scratch.

What You Get

✓Contract review time drops from 6-10 hours to under 90 minutes for standard agreements
✓Playbook adherence improves as AI applies standards consistently across every reviewer and every deal
✓Junior attorney capacity increases as AI handles initial review tasks previously assigned to associates
✓More than 200 contracts per week can be processed with the same legal team size

Technology Stack

Claude 3.5 SonnetGPT-4oLangChainPineconeDocuSign CLM APIiManage API

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Industries We Serve

LegalFinancial Services

Frequently Asked Questions

What contract types does your AI review system handle?+
We configure the system for specific contract types your organization processes most — NDAs, MSAs, SaaS agreements, employment contracts, M&A transaction documents, vendor agreements, real estate leases, and others. Each contract type gets its own playbook configuration. We start with your highest-volume types and expand from there.
How accurate is the AI at identifying non-standard clauses?+
On well-defined playbooks with consistent contract language, clause identification accuracy runs 92-96% in our deployments. Accuracy is highest on clauses with clear language patterns — limitation of liability caps, specific indemnification structures — and somewhat lower on clauses that use highly varied language to express the same concept. We test accuracy against your actual contracts before go-live.
Does the AI generate redlines in Word format that we can actually use?+
Yes. The system generates redlined Word documents using tracked changes, which attorneys can open directly in Word or their document management system. The suggested changes are based on your playbook language, not generic alternatives. Attorneys accept, modify, or reject each suggestion exactly as they would with a colleague's redlines.
How do you prevent the AI from missing something important?+
Missing important issues is a real risk with any AI review tool. Our design addresses it in two ways: first, we build in mandatory human review for high-risk contract types rather than optional review; second, we generate a completeness check that flags if expected clause types are absent, rather than only flagging deviations in clauses that are present. Something missing from the contract is as important as something wrong.

Ready to build this for your team?

We take this from concept to production deployment. Usually in 3–6 weeks.

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