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Operations
Member of Technical Staff, Legal Research
Why we like this role
Full-time applied research role benchmarking AI in legal workflows — contracts, litigation, IP, regulation. JD, LLM, or SJD required. $180–230k base plus equity. One opening.
About this opportunity
Job Type: Full-time Location: Remote
The Role: Join our research team as a Member of Technical Staff (MTS), Law Research, where you'll help define the frontier of AI-powered legal reasoning. This role sits at the intersection of large language models, agentic systems, and legal workflows, with a focus on building rigorous evaluation frameworks that measure, benchmark, and advance AI performance across complex legal tasks.
What You'll Be Doing:
- Design, own, and evolve evaluation frameworks for AI agents operating in legal domains, including benchmark suites, scoring methodologies, quality rubrics, and research-grade evaluation protocols
- Conduct original research on legal reasoning, statutory interpretation, legal analysis, and workflow automation
- Develop and curate datasets, case studies, and benchmark environments that reflect real-world legal challenges
- Collaborate with AI researchers and engineers to evaluate and improve legal-focused models and agentic systems
- Analyze model performance, reasoning quality, and failure modes across legal use cases
- Help establish industry-leading standards for legal AI evaluation and benchmarking
What We're Looking For:
- Advanced degree in Law (JD, LLM, SJD, PhD in Law, or equivalent)
- Deep expertise in one or more legal domains: corporate law, contracts, litigation, regulatory compliance, intellectual property, employment law, or public policy
- Demonstrated experience conducting legal research, analysis, or policy work
- Exceptional analytical reasoning and written communication skills
Compensation: $180,000–$230,000 base salary plus equity, up to 100% health insurance reimbursement, 401(k) with company match.
Required skills
- Legal research
- Enterprise AI
- Benchmarking
- Agentic legal workflows
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