Litigation Analyst​/Technologist

Commensurate with experience; includes stock options

Remote (Southern California preferred)

We are a VC-backed startup building negotiation intelligence for insurance carriers handling litigated claims. While 98% of these claims resolve through settlement, the process remains deeply unstructured. We believe insurers can do better—with evidence-based tools, jurisdiction-specific logic, and AI that extracts signal from case noise.

Our platform combines structured prompts, litigation analytics, and a proprietary math engine to quantify settlement posture. We help litigation managers and defense counsel negotiate with rigor—not just instinct.

We’re looking for a hybrid thinker: a litigation-savvy professional with analytical and technical skills who wants to help shape how negotiation is practiced s role sits at the intersection of legal subject matter expertise, structured data modeling, and applied prompt engineering.

You’ll work cross-functionally with our CEO, CPO, engineers, and litigation advisors to define and deploy the intelligence that powers our platform. Expect a mix of research, prompt design, workflow testing, and data oversight—all aimed at delivering defensible, data-driven negotiation recommendations.

• Court Docket Data & Verdict Analytics
  • Become an expert in state court data systems, including docket structure, coverage gaps, and acquisition methods (scraping, APIs, parsing)
  • Evaluate verdict datasets for completeness, consistency, and modeling value
  • Oversee pipelines that ingest and standardize this data for platform use
  • Define new analytics (e.g., judge-level motion trends, venue-based timelines)
  • Partner with engineers to productize and QA these analytics
  • Document usage guidance to help clients apply the data meaningfully
• Negotiation Math Engine
  • Map tort doctrines across jurisdictions (e.g., comparative fault, caps, lien rules)
  • Develop logic for economic levers like expected value, BATNA, and offsets
  • Define parameterized legal functions that engineers can implement at scale
  • Collaborate on rule-driven recommendations (e.g., liability-adjusted offers)
  • Ensure all models are mathematically sound and legally defensible
  • Contribute to evolving prototypes for AI-generated negotiation guidance
• Subject Matter Expert Prompt Engineering
  • Design and refine prompts that extract facts, issues, and argument patterns
  • Test prompt sets on real case documents—e.g., depositions, medicals, police reports
  • Compare LLM output against expert expectations and iterate for accuracy
  • Work with engineers to manage schema, tagging, and versioning across prompts
  • Help maintain retrieval and output quality in a RAG-based pipeline
• What You’ll Do Day-to-Day
  • Review litigation documents to test prompts, evaluate data quality, and ground model assumptions
  • Run structured prompt sets on real case files and compare output to expert expectations
  • Analyze docket and verdict data coverage across jurisdictions and diagnose quality gaps
  • Define requirements for new litigation analytics and economic modeling logic
  • Work with engineers to structure tagging systems, legal functions, and API outputs
  • Iterate on core platform logic—whether prompt design, fault allocation, or jurisdictional rules
  • Write clear business requirements and usage documentation for legal and technical audiences
  • Participate in QA sessions to validate analytics, math engine calculations, and prompt reliability
  • Collaborate daily with our CEO, CPO, engineers, and legal experts to guide feature development and troubleshoot edge cases

• Experience & Education
  • 3+ years in insurance defense, personal injury, and/or tort litigation (attorney, paralegal, claims analyst, or litigation manager)
  • Strong analytical skills with…