The fellowship brings together experienced lawyers with strong motion-practice backgrounds to help train and evaluate frontier AI models on one of the hardest remaining problems in legal AI: not simply reaching the right legal answer, but turning sound legal analysis into persuasive advocacy.

Fellows will review and evaluate AI-generated motions, identify what separates competent legal writing from exceptional advocacy, and help develop the standards and training data that improve how AI systems frame arguments, use authority, organize facts, and exercise persuasive judgment.

We are particularly interested in litigators with a demonstrated record of successful motion practice in federal court and strong instincts for what makes a brief effective before a judge.

Why Join:

• This is an opportunity to work at the intersection of law and technology.
• You will help define how AI is developed for a new generation of legal practitioners.
• You will apply your courtroom experience in a high-impact research environment.

• Perform simulated motion drafting, briefing, and litigation strategy exercises.
• Review and assess AI responses to litigation scenarios, providing expert feedback to improve model performance and output precision.
• Create objective evaluation frameworks and grading criteria to assess AI performance on litigation tasks with rigor and consistency.
• Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven litigation support solutions.

• Substantial experience litigating civil matters in federal court, including motion practice, briefing, and case strategy.
• A record of at least 3 motions won in federal civil litigation, with supporting documentation (e.g., court orders or docket entries) required.

Work arrangement: Fully remote