Inside Harvey AI: $11B, $300M ARR, 960 Employees, 12 Offices, 13 Trillion Tokens a Month

Harvey AI has scaled rapidly, growing from $100M to nearly $300M in ARR over the past year, driven by a product-first strategy and a transition to cloud-based infrastructure. The company now processes over 12 trillion tokens monthly, reflecting a massive surge in usage across legal and corporate sectors. Success hinges on a culture of constant reinvention, where the team prioritizes talent density and rapid, iterative decision-making over legacy processes. By creating synthetic datasets to train specialized models, Harvey AI achieves performance levels that outperform general-purpose frontier models in specific legal tasks while maintaining cost-efficiency. The firm’s growth strategy emphasizes verticalization, allowing it to deliver measurable ROI for clients by tailoring intelligence to specific legal use cases rather than relying on expensive, general-purpose AI solutions.