Laurel

The company's primary clients are large accounting, consulting, and law firms, including major players like Ernst & Young, Grant Thornton, and Freshfields. Laurel operates on a subscription-based business model, with enterprise contracts reportedly averaging around $200,000 and some exceeding seven figures. Its platform is designed to address the significant revenue leakage and operational inefficiencies caused by outdated timekeeping practices in the professional services industry, a market estimated to be worth trillions globally.

Laurel's platform passively and automatically captures work activities across various applications, such as emails, documents, and video calls, eliminating the need for manual timesheet reconstruction. Using firm-specific AI models, the system intelligently groups these activities, generates detailed billing narratives, and checks entries against client and firm compliance guidelines in real-time. This automation reportedly recovers an average of over 28 billable minutes per professional daily, leading to profit increases of 4-11% for client firms. Beyond time capture, the platform provides deep analytics, offering insights into project costs, resource allocation, and the true cost of service delivery, thereby enabling data-driven decisions on pricing and staffing. Having raised over $155 million in funding, including a $100 million Series C round in June 2025, Laurel is positioned to expand its role as a foundational data layer for AI transformation within knowledge-based industries. Keywords: AI time platform, time intelligence, professional services automation, legal tech, accounting tech, automated timekeeping, billable hours recovery, revenue leakage, operational insights, enterprise software, time tracking analytics, compliance review, work activity capture, billing narrative generation, law firm profitability, consulting firm efficiency, Ryan Alshak, Kourosh Zamani, Time by Ping, data-driven pricing, resource allocation optimization