MicrosoftLive sourceProductionEvidence: Medium50/100

Allen & Overy accelerates legal operations with Harvey AI-powered contract analysis and due diligence

Use case typeContract analysisUpdated Jun 13, 2026

Allen & Overy, a leading global law firm, partnered with Harvey AI to transform and automate contract analysis, regulatory due diligence, and litigation review. Harvey AI, built on OpenAI's GPT models and further trained on legal data and firm-specific templates, was rolled out to over 3,500 lawyers who collectively asked 40,000 questions during trials. The solution identifies contractual risks, extracts and flags key clauses, and performs compliance checks much more efficiently than manual review. Harvey AI runs securely on Microsoft Azure, integrating with document management systems and enabling workflow automation across multi-language and cross-jurisdictional contexts. The project demonstrated marked improvements in review turnaround, accuracy, and overall efficiency, establishing a new benchmark for generative legal AI in enterprise environments. In March 2024, Harvey AI officially launched on Azure Marketplace, enabling broader adoption in the legal sector.

Organization
Allen & Overy
Industry
Legal
Published
March 2023

Reported outcomes

Strategic outcomes

New product / capabilityAutomated contract analysis and due diligenceRisk & complianceImproved legal risk and compliance checksSpeed & agilityFaster contract review turnaroundScale & capacityExpanded AI access across legal sector
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Allen & Overy
Provider
Microsoft
Maturity
Production
Linked source
Clio Blog

Harvey AI, built on OpenAI's GPT models and further trained on legal data and firm-specific templates, was rolled out to over 3,500 lawyers who collectively asked 40,000 questions during trials

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 4

  • 1contract analysis
  • 2due diligence automation
  • 3regulatory compliance
  • Manual contract review and due diligence processes were labor-intensive and time-consuming for a global law firm.
  • Identifying contract risks and compliance issues demanded significant legal expertise and resources.
  • Multi-language and cross-jurisdictional contract handling added complexity and delays.
  • Growing demand from clients for faster turnaround times and cost efficiency in legal services.
  • Deployed Harvey AI—an LLM-based legal agent—trained on OpenAI GPT and further fine-tuned on legal documents and Allen & Overy templates.
  • Integrated Harvey AI on Microsoft Azure for secure, enterprise-grade cloud scalability.
  • Automated contract analysis, risk detection, and extraction of legal clauses using Harvey's generative AI engine.
  • Enabled API integration and workflow automation with document and case management systems.
  • Reduced contract review and due diligence turnaround times dramatically.
  • Improved accuracy in identifying legal risks and inconsistencies.
  • Enhanced productivity for over 3,500 legal professionals across multiple jurisdictions.
  • Scalable AI solution now available on Azure Marketplace to the broader legal sector.
Architecture

Harvey AI runs on Microsoft Azure, leveraging OpenAI GPT models fine-tuned on legal and firm-specific datasets. The platform integrates via API with document management, CLM, and research systems, supporting multi-language contract analysis and automated workflow routing for legal professionals.

Implementation partners1
Sources & evidence1
Evidence: Medium50/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Technical implementation details available
  • Recent evidence check available
  • Last evidence check: Jun 1, 2026.
Live sourceStill referenced

The case's original source is still reachable.

  • Cited source last checked Jun 1, 2026 — ok (0/1 broken).

Measures whether this deployment's public evidence persists — not whether the system is still in production.

Type: Blog PostPublished: Mar 13, 2023Publisher: Clio BlogEvidence: VendorConfidence: Medium

AI-generated summary. Verify important details with the linked sources before relying on this case.

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