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Turbo Law

Category: AI in Legal

AI-powered unified litigation platform purpose-built for defense law firms and insurance carriers handling complex medical-legal matters. Turbo Law was founded in 2025. The company is led by Jay Sarmaz. Based in San Mateo, California, United States. Team size: 11-50. Total funding raised: $3.8M. Latest round: Seed. Key investors include Revo Capital (lead), Treeo VC, BridgeX Ventures, Alchemist Accelerator, Gokul Rajaram, John E. Hall, Jr., Keith Kitani.

Founded
2025
Headquarters
San Mateo, California, United States
Team size
11-50
Total funding
$3.8M

Value proposition

Turbo Law transforms complex litigation workflows by connecting to existing case files and building a live, continuously updated representation of each matter — linking facts, events, records, people, and issues across time and causation — so legal teams can analyze records, draft documents, identify inconsistencies, assess exposure, and make strategic decisions without reassembling the record.

Products and solutions

Unified Litigation Platform with modules for: Review (chronologies, liability analysis), Drafting (motions, answers, discovery, client reports), Research (case law, contradictions, expert testimony), Strategy & Settlement (case evaluation from complaint through resolution), AI Assistant (complex review, drafting, strategy, research tasks). Core technology: Fact Graph (connected intelligence layer linking all case data), Unified Matter Ecosystem (single workspace for entire litigation file), Vertical-specific AI (adapts to specific case types like med-mal, insurance defense).

Unique value

Unlike general-purpose legal AI tools focused on research and document drafting, Turbo Law is built specifically for defense litigation workflows with a Fact Graph that creates a live, connected intelligence layer across the entire case lifecycle — with privilege protection, ethical walls, full auditability, and enterprise-grade security built in.

Target customer

Defense law firms and insurance carriers handling complex litigation including medical malpractice, insurance defense, and tort litigation in the United States.

Industries served

Legal (defense litigation), Insurance (claims defense), Healthcare (medical malpractice defense)

Technology advantage

Proprietary Fact Graph technology that links facts, events, records, people, and issues across time and causation; vertical-specific AI that adapts to specific litigation types (medical malpractice, insurance defense, tort); HIPAA attested & SOC 2 Type II compliant; zero cross-pollination (no training on client data); ethical walls and privilege protections built for legal workflows.

How they differentiate

Turbo Law is purpose-built exclusively for defense litigation (medical malpractice, insurance defense, tort) rather than general legal AI. Its Fact Graph creates a live, connected intelligence layer across the entire case lifecycle rather than point solutions for research or drafting. It incorporates privilege protection, ethical walls, and HIPAA/SOC 2 compliance specifically for the defense litigation context. The platform handles the full workflow from initial review through settlement posture, not just discrete tasks.

Main competitors

Harvey AI (general legal AI for large law firms), CoCounsel by Thomson Reuters/Westlaw (AI legal assistant for research and document review), Everlaw (eDiscovery and litigation platform)

Major milestones

Founded 2025, launched platform and raised $3.8M Seed round led by Revo Capital in June 2026, processed millions of pages across 1,800+ active matters in first year, HIPAA attested & SOC 2 Type II compliant.

Growth metrics

Processed millions of pages of legal records and supported more than 1,800 active matters in first year; firms using platform reduced non-billable work and improved operational efficiency.

Market positioning

Niche leader in AI-powered defense litigation platform, targeting the complex and underserved intersection of medical-legal litigation where document volume and case complexity are highest. Competes against generalist legal AI platforms by offering deeper vertical specialization.

Geographic focus

United States (headquartered in San Mateo, CA, with operations serving US-based defense law firms and insurance carriers)

About Jay Sarmaz

Co-Founder & CEO of Truve (AI predictive analytics startup); VP Data & AI at Case Status; Founder & Chief Scientist at EncoreAI Labs; Director at NTT DATA North America; Georgia Institute of Technology

Official website: