Automated Contract Review

Automated Contract Review refers to software that analyzes contracts and related legal documents to identify key clauses, deviations from standard language, and potential risks. These systems parse agreements, extract structured data (like parties, dates, payment terms, and obligations), and compare them against playbooks, templates, or policy libraries to highlight what’s missing, non-standard, or high-risk for legal teams. This application matters because manual contract review is slow, expensive, and prone to inconsistency, especially at scale across NDAs, MSAs, DPAs, and complex commercial agreements. By using AI to triage clauses, surface red flags, and standardize reviews, legal departments and law firms can shorten deal cycles, reduce outside counsel spend, and improve risk control and compliance across large contract portfolios.

The Problem

Accelerate contract review with AI-powered risk and clause analysis

Organizations face these key challenges:

1

Slow turnaround times for contract approvals

2

Missed non-standard clauses and hidden risks

3

High cost of manual legal review

4

Inconsistent application of playbooks/policies across agreements

Impact When Solved

Much faster contract turnaroundConsistent risk and policy enforcement at scaleLower legal and outside counsel spend

The Shift

Before AI~85% Manual

Human Does

  • Manually read every clause of each contract and related documents.
  • Compare language against playbooks, templates, and prior agreements to spot deviations.
  • Extract key data (parties, dates, payment terms, SLAs, termination, liability caps) into trackers or CLM fields.
  • Identify and flag risky or non-standard clauses, then draft markups and alternative language.

Automation

  • Basic document storage, version control, and keyword search within a DMS or CLM system.
  • Template generation and clause libraries used manually by lawyers.
  • Simple workflow routing (e.g., who needs to approve what) based on pre-set rules.
With AI~75% Automated

Human Does

  • Define and maintain contracting playbooks, risk thresholds, and approved clause libraries.
  • Review AI-flagged high-risk, ambiguous, or novel issues and make final judgment calls.
  • Negotiate complex or strategic contracts where business context and judgment dominate.

AI Handles

  • Parse contracts and related documents, extracting key entities, obligations, and commercial terms into structured data.
  • Compare extracted clauses against playbooks, templates, and policy libraries to detect what’s missing, non-standard, or high-risk.
  • Pre-triage contracts by risk level, routing low-risk/standard contracts for light-touch review or auto-approval.
  • Generate summaries of key terms and risks and suggest redlines or fallback language for common deviations.

Solution Spectrum

Four implementation paths from quick automation wins to enterprise-grade platforms. Choose based on your timeline, budget, and team capacity.

1

Quick Win

Clause Extraction via Pre-Trained Legal NER APIs

Typical Timeline:2-4 weeks

Rapid setup using cloud-based named entity recognition (NER) APIs specialized for legal documents to extract party names, dates, payment terms, and basic clauses from contracts. Requires minimal configuration and no custom training.

Architecture

Rendering architecture...

Key Challenges

  • Limited to predefined entities and clause types
  • No understanding of nuanced clause wording
  • No contract risk scoring or deviation analysis

Vendors at This Level

Lexion

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Market Intelligence

Technologies

Technologies commonly used in Automated Contract Review implementations:

Key Players

Companies actively working on Automated Contract Review solutions:

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Real-World Use Cases