(Legal Research) Member of Technical Staff

About 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.

Responsibilities

• 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.
• Help establish industry-leading standards for legal AI evaluation and benchmarking.

Requirements

• 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.

Preferred Qualifications

• 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.