Job Title: Member of Technical Staff, Legal Research
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.
You will conduct applied research, develop methodologies for assessing legal intelligence in AI systems, and partner closely with researchers and engineers to shape the next generation of enterprise AI.
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. 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.
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, 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.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $200,000 –$250,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.
Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
Disclaimer
The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.