Litigation Associate - Remote

YO AI Labs

San Jose (CA)

Remote

USD 40,000 - 70,000

Part time

2 days ago
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Job summary

YO AI Labs is seeking an AI Legal Fellow—Litigation & Motion Practice—to support a remote, contract-based project focused on evaluating and improving AI-generated civil litigation work.

The role requires substantial federal civil litigation and motion practice experience, with a track record of drafting or reviewing motions, and the ability to provide clear, practical feedback to enhance AI-driven legal writing and strategy.

Qualifications

  • Substantial experience handling civil litigation in federal court, including motion practice, briefing, and case strategy.
  • Demonstrated record of at least 3 successful motions in federal civil litigation, supported by court orders, docket entries, or similar documentation.
  • Excellent legal writing, analytical, and verbal communication skills.

Responsibilities

  • Draft and evaluate litigation motions, briefs, and legal strategy exercises.
  • Review AI-generated responses to federal litigation scenarios.
  • Assess legal arguments, use of authority, factual analysis, organization, and persuasive writing.
  • Develop objective evaluation criteria and grading frameworks for AI-generated legal work.
  • Provide clear, actionable feedback to improve AI performance.
  • Collaborate with research and product teams to refine legal AI guidelines and training materials.

Skills

Motion Drafting
Federal Litigation
Civil Litigation
Federal Court Experience
Civil Procedure
Legal Research & Writing
Trial & Litigation Strategy
Critical Thinking
Attention to Detail

Job description

AI Legal Fellow — Litigation & Motion Practice

Role Type: Contractor
Location: Remote
Engagement: Part-Time, Project-Based

Job Summary

We are seeking experienced Litigators with strong federal civil litigation and motion-practice experience to support a specialized project focused on evaluating and improving AI-generated legal advocacy.

Fellows will review AI-generated legal work, assess the quality of arguments and authorities, and provide expert feedback to improve legal reasoning, writing, and litigation strategy.

Key Responsibilities
  • Draft and evaluate litigation motions, briefs, and legal strategy exercises.
  • Review AI-generated responses to federal litigation scenarios.
  • Assess legal arguments, use of authority, factual analysis, organization, and persuasive writing.
  • Develop objective evaluation criteria and grading frameworks for AI-generated legal work.
  • Provide clear, actionable feedback to improve AI performance.
  • Collaborate with research and product teams to refine legal AI guidelines and training materials.
Required Skills
  • Motion Drafting
  • Federal Litigation
  • Civil Litigation
  • Federal Court Experience
  • Civil Procedure
  • Legal Research & Writing
  • Trial & Litigation Strategy
  • Critical Thinking
  • Attention to Detail
Qualifications
  • Substantial experience handling civil litigation in federal court, including motion practice, briefing, and case strategy.
  • Demonstrated record of at least 3 successful motions in federal civil litigation, supported by court orders, docket entries, or similar documentation.
  • Excellent legal writing, analytical, and verbal communication skills.
  • Ability to evaluate legal arguments and translate litigation expertise into clear, actionable feedback.
  • Strong understanding of federal civil procedure and litigation strategy.
  • Ability to work effectively with cross-functional teams in a remote environment.
  • Interest in the intersection of law and technology.
Preferred Qualifications
  • Experience with AI, legal technology, or legal training initiatives.
  • Experience handling multiple motion types, including motions to dismiss, motions for summary judgment, and discovery motions.
  • Experience evaluating or developing legal writing standards and frameworks.
Project Details
  • Work Arrangement: Remote
  • Engagement: Contractor / Part-Time
  • Schedule: Flexible
  • AI Experience: Preferred, but not required
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