Turbo Law is developing an artificial intelligence platform designed for legal teams handling large and complex case files. It brings case documents and data together in a single workspace and reveals connections between parties, experts, defenses, and dates. The company, founded in 2025 by Jay Sarmaz and Özgür Bora Gevrek, targets law firms working on defense cases and insurance companies.
Analyzing case files with results attributed to their sources
The platform relies on a system called Fact Graph to connect case elements rather than merely searching documents individually. Turbo Law also displays the document on which each piece of information or result is based, allowing lawyers to review and verify the artificial intelligence outputs before using them in legal work.
The company initially focused more heavily on medical claims, then expanded its scope to various areas of defense litigation. Alongside document analysis, the platform provides tools for developing case strategy, conducting legal research, preparing documents, and managing settlements, as well as a continuous AI assistant that the case team can use throughout the case’s stages.
A platform that does not rely on a single model
Turbo Law says its architecture is independent of any specific artificial intelligence model and that it selects the model for each task that meets the required quality standards with greater efficiency. The options may include open-source models and services such as ChatGPT, Claude, and Gemini. The product was developed, tested, and improved over approximately one year in collaboration with organizations using it as design partners.
Usage and funding indicators
According to data shared by the company, the platform includes more than 2,500 active cases, up from 1,800 cases when the company announced its seed round in June. Turbo Law also says its customers achieved a 60% reduction in non-billable hours per case and a 10% reduction in discounts from written fees.
The company uses a subscription model based on the number of users, with a small fee charged to extract information when a document is processed for the first time. To date, Turbo Law has raised $3.8 million in seed funding led by Revo Capital, with participation from Treeo VC, BridgeX Ventures, and Alchemist Accelerator, along with Gokul Rajaram and a number of executives at American technology companies and legal-sector specialists.
What distinguishes the approach?
The distinction Turbo Law puts forward lies in making the case file the primary unit of analysis and linking results to their sources, rather than providing a general artificial intelligence assistant. The company positions itself against broader platforms such as Harvey and Legora, and legal software such as CoCounsel, Lexis Protege, and Disco.
In practice, this approach may benefit teams that need to examine large volumes of evidence while maintaining auditability. However, the figures concerning time savings and reduced discounts come from the company itself, and the article provides no independent details about the methodology used to measure them or about error rates and the legal limitations of using the platform’s outputs. These aspects therefore require additional verification before the product’s impact can be assessed on a broader scale.