Normalized claim
Time: 30% decrease
Reduced average contract review time by 30% (saving ~7 hours per contract)
Last evidence check: Jul 22, 2026
MicrosoftEvidence: Medium55/100
Allen & Overy revolutionizes contract management with AI-powered ContractMatrix
Use case typeContract analysisUpdated Jun 13, 2026
Allen & Overy Shearman has launched ContractMatrix, a generative AI-powered platform designed for contract drafting, review, and analysis. Built collaboratively with Microsoft and Harvey, the tool operates on Microsoft Azure, utilizing OpenAI's Large Language Models (LLMs). The AI seamlessly integrates into legal workflows to improve efficiency and reduce human errors. ContractMatrix is not only used within the organization by 1,900 lawyers but also deployable to external clients globally through Azure Marketplace.
- Organization
- Allen & Overy Shearman
- Industry
- Legal
- Location
- United Kingdom
- Published
- May 2024
Reported outcomes
−30%
timeTime & speed
7 hourstime
Strategic outcomes
New product / capabilityLaunched AI-powered contract management platformCustomer experience & trustIntegrated AI into legal workflowsRisk & complianceImproved contract accuracy and consistencyMarket & geographic expansionExtended solution to external clients
Catalog median for time & speed deployments: −50% across 312 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Time: 7 hours decrease
Reduced average contract review time by 30% (saving ~7 hours per contract)
Last evidence check: Jul 22, 2026
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Allen & Overy Shearman
- Provider
- Microsoft
- Maturity
- Unknown
- Linked source
- ukstories.microsoft.com
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 4
- 1AI-assisted contract drafting and clause suggestion
- 2Automated legal contract review and anomaly detection
- 3Bulk contract analysis and precedent extraction
- Manual contract review was time-consuming, averaging 7+ hours per contract
- High risk of human error and inconsistencies in contract drafting and analysis
- Difficulty scaling contract management processes to meet global demand
- Need for secure, scalable, and compliant AI infrastructure for sensitive legal data
- Developed ContractMatrix, an AI-powered platform for contract drafting, review, and analysis
- Utilized Azure AI and OpenAI LLMs for multilingual, generative contract processing
- Integrated AI tool into legal workflows for internal lawyers and external clients
- Leveraged Azure's secure and scalable infrastructure for robust global deployment
Technologies
- Reduced average contract review time by 30% (saving ~7 hours per contract)
- Enabled 1,900 lawyers globally to work more efficiently with AI-assisted legal tools
- Improved contract accuracy and reduced human errors
- Extended contract management solution to external clients via Azure Marketplace
Sources & evidence2
Evidence: Medium55/100Evidence strength
- Customer explicitly identified
- Quantified outcome available
- Technical implementation details available
- Multiple corroborating sources available
- Recent evidence check available
- Last evidence check: Jul 22, 2026.
Published: May 28, 2024Publisher: ukstories.microsoft.com
Primary sourceSource 2 (unavailable)
AI-generated summary. Verify important details with the linked sources before relying on this case.
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