Litigation Attorney

Role Type: Contractor
Location: Remote – Open to U.S.-Licensed Attorneys
Engagement: Project-Based – Paid Per Approved Task
Time Commitment: Flexible – Work Around Your Existing Practice
Estimated Time per Task: Approximately 8 hours for task creation

Job Description

We are seeking experienced, practicing U.S. attorneys to develop complex legal reasoning tasks that evaluate the capabilities of AI systems. This role involves using your legal expertise to create challenging, realistic legal problems based on scenarios encountered in professional practice.

You will analyze complex fact patterns, identify key legal issues, interpret relevant authorities, and develop defensible conclusions. Prior experience with AI is not required.

Key Responsibilities

• Develop complex legal reasoning tasks based on realistic legal scenarios and supporting materials.

• Provide accurate legal analysis and explain the reasoning behind each conclusion.

• Establish clear evaluation criteria to ensure consistent and objective assessment of answers.

• Review tasks created by other attorneys for legal accuracy and sound reasoning.

• Identify and flag ambiguous or ungradable tasks to maintain quality standards.

Requirements

• J.D. degree and an active U.S. bar license in good standing.

• 3–15 years of legal practice experience.

• Currently practicing in one or more of the following areas:

  • Litigation

  • Corporate Law

  • Real Estate Law

  • Bankruptcy

  • Compliance

• Strong preference for experienced litigators.

• Advanced English proficiency (C1 level or above).

Preferred Qualifications

• Judicial clerkship experience.

• Law school teaching or legal instruction experience.

• Law review or legal journal editorial experience.

• Previous involvement in legal AI or legal data projects.

Selection Process

1. Submit your application and complete the screening questions.

2. Complete the AI interview to demonstrate your legal expertise.

3. Undergo profile review.

4. Complete onboarding with the Talent Operations team.