Member of Technical Staff, Legal Research

• 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.
• Publish internal research findings, best practices, and evaluation methodologies.
• Stay current with developments in legal technology, jurisprudence, regulatory environments, and AI research.
• Help establish industry-leading standards for legal AI evaluation and benchmarking.

• Advanced degree in Law (JD, LLM, SJD, PhD in Law, or equivalent).
• Deep expertise in one or more legal domains, including corporate law, contracts, litigation, regulatory compliance, intellectual property, employment law, or public policy.
• Demonstrated experience conducting legal research, analysis, or policy work.
• Experience developing structured methodologies for assessing legal arguments, legal outcomes, or research quality.
• Exceptional analytical reasoning and written communication skills.
• Experience working across interdisciplinary teams involving research, technology, or legal operations.

• Experience with legal technology, legal operations, or AI-enabled legal workflows.
• Background in legal benchmarking, legal research methodology, or legal knowledge management.
• Published legal scholarship, policy research, or contributions to legal standards and frameworks.

RequiredAlso useful

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