Legal AI Specialist - Litigation

Weekday AI
Remote

About The Position

This role is for one of our clients. We are collaborating with a leading AI research organization to develop high-quality legal reasoning data for next-generation AI systems. We are seeking Litigation-focused Legal AI Specialists to contribute their expertise in civil litigation, motion practice, discovery, and trial strategy. In this role, you will design realistic legal scenarios, evaluate AI-generated outputs, and help improve how advanced models reason about complex legal matters. This opportunity is ideal for early-career litigators and legal professionals who excel in analytical thinking, legal writing, and structured evaluation.

Requirements

  • 1–4 years of professional experience in civil litigation (law firm, government, or in-house legal team)
  • Hold a J.D. (U.S./Canada) or LL.B./LL.M. (U.K.) from an accredited institution
  • Licensed to practice law in the United States, Canada, or the United Kingdom (active or inactive)
  • Strong legal writing, analytical, and critical thinking skills
  • High attention to detail and ability to follow structured evaluation frameworks

Nice To Haves

  • Experience with e-discovery tools (e.g., Relativity, document review, privilege analysis)
  • Exposure to appellate or trial work
  • Familiarity with legal case management systems

Responsibilities

  • Design realistic legal scenarios based on civil litigation practice, including motions, discovery, depositions, briefs, and case strategy
  • Draft “gold standard” responses at attorney-level quality to guide AI model learning
  • Evaluate and grade AI-generated outputs using structured rubrics and legal standards
  • Provide detailed written feedback to improve accuracy, reasoning, and legal soundness
  • Participate in onboarding sessions, office hours, and specialty calibration discussions

Benefits

  • Competitive hourly rate: $85–$120 per hour
  • Weekly payments via supported global payment platforms
  • Fully remote with flexible scheduling
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