
A&O Shearman Saves 4,000 Staff 2-3 Hours Weekly with Harvey AI
Global law firm, 4,000+ staff across 43 jurisdictions
The Challenge
A&O Shearman's lawyers across 43 jurisdictions were spending enormous amounts of time on routine legal tasks — contract review, document analysis, legal research, and drafting. With 4,000+ staff handling complex cross-border matters, the sheer volume of document processing created bottlenecks. Associates were spending more time on data gathering than on strategic legal analysis, and clients increasingly expected faster turnaround times.
The Solution
A&O Shearman became one of the first major law firms to deploy Harvey AI in an enterprise-wide rollout. Harvey, built on advanced large language models with custom legal training, was integrated across the firm for contract analysis, legal research, document review, and drafting assistance. The ContractMatrix tool was adopted by 2,000 lawyers for daily use. Harvey's "Trust Stack" verification system reduces hallucinations to approximately 0.2%, with custom legal embeddings trained on 20+ billion tokens of legal text.
The Results
Staff reported saving 2-3 hours weekly on routine legal tasks
Contract review time cut by 30% using AI-powered ContractMatrix
2,000 lawyers use ContractMatrix daily across the global network
Named Europe's Most Innovative Law Firm in 2024 for AI deployment
“Integrating Harvey AI has fundamentally changed how our lawyers work. The time savings on routine tasks mean our teams can focus on high-value strategic advice — which is exactly what clients hire us for.”
Key Takeaways
Enterprise-wide AI adoption requires executive buy-in and firm-wide change management
AI-powered contract review delivers the fastest measurable ROI in legal practice
Trust and accuracy are non-negotiable — look for AI tools with verification systems that minimize hallucinations
Combining AI legal research with practice management tools creates compound efficiency gains
Sources: Based on publicly reported data from Harvey AI, A&O Shearman, Medium, Legal IT Insider, and RSGI research
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