Turbo Law closed a $3.8 million seed round and launched its AI platform for complex litigation. The funding, led by Revo Capital, signals investor confidence in tools built specifically for high-stakes legal work where thousands of facts and documents intersect.
The round included participation from Treeo VC, BridgeX Ventures, Alchemist Accelerator, John E. Hall, Jr., Gokul Rajaram, Keith Kitani, and a group of technology and litigation partners. The company also received support from advisors at Rosen Injury Lawyers, Hall Booth Smith, Lashly & Baer, Nelson Mullins Riley & Scarborough, Microsoft, and WVV Capital.
What the platform does
Turbo Law builds a live representation of a legal matter and keeps it updated through the full litigation lifecycle. The company's approach treats review, strategy, drafting, and settlement as interconnected workflows rather than separate stages. Legal teams get a continuously updated view of where a matter stands, not a static document folder.
Jay Sarmaz and Ozgur Bora Gevrek founded the company. The product includes features for privilege, ethical walls, and auditability. Turbo Law said the platform is built with litigators and is intended to support legal judgment rather than replace it. The workflow follows a pattern: the platform proposes, legal teams verify, and partners make final decisions.
Traction and real-world use
The platform already powers thousands of active matters. Turbo Law said it helps litigation teams win more cases, take on more work, and increase the value of every matter they handle. The company participated in Alchemist Accelerator's class #41.
For legal professionals watching the rapid adoption of AI for Legal workflows, the platform's focus on interconnected litigation tasks addresses a gap that generic document review tools miss. Complex cases demand tools that understand how facts, strategy, and drafting relate - not just faster search.
Why this matters for legal professionals
Litigation teams evaluating AI tools should note the specific architecture here: a live matter representation rather than a document database. That distinction matters when privilege logs, ethical walls, and audit trails determine whether a tool is usable in practice. The platform's propose-verify-decide workflow also maps to how law firms actually operate, where partners retain final judgment. Paralegals and associates exploring AI Learning Path for Paralegals resources will encounter similar patterns - tools that handle volume while keeping humans in the decision loop.
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