Saas Contracting Attorney - AI Fellowship

Unlock Employer

Posted May 1, 2026

Remote · NAMER · ask about Worldwide Contract

Overview

This opportunity is for experienced commercial attorneys to participate in a 1-month Commercial Contracting AI Fellowship focused on SaaS contracts. The fellowship involves working with advanced AI systems to help train, evaluate, and improve their performance in real-world legal contract review and negotiation scenarios.

Responsibilities

  • Conduct simulated contract negotiations and redlining exercises.
  • Evaluate AI-generated contract suggestions for accuracy, risk identification, and legal soundness.
  • Review and assess AI responses to contract scenarios, providing expert feedback to enhance model performance.
  • Collaborate with product and research teams to refine training data, annotation guidelines, and best practices for AI-driven contract review solutions.

Requirements

  • J.D. from an ABA-accredited law school.
  • Active bar admission in at least one U.S. jurisdiction.
  • Minimum of 3 years of in-house experience focused on technology transactions, especially SaaS contract review, negotiation, and redlining.
  • Exceptional written and verbal communication skills with strong attention to detail.
  • Strong analytical skills and ability to translate legal expertise into actionable feedback for AI systems.
  • Demonstrated commitment to innovation at the intersection of law and technology.
  • Experience working with cross-disciplinary teams in fast-paced environments.

Preferred Qualifications

  • Prior exposure to AI, legal technology, or data annotation projects.
  • Expertise in risk mitigation strategies within SaaS contracting.
  • Record of publications or presentations on legal technology topics.

Compensation & Commitment

  • Hourly rate: $80–$105
  • Part-time, flexible schedule
  • Minimum commitment: 5 hours per week
  • Maximum commitment: 20 hours per week
  • Fellowship duration: 1 month

Location

  • Remote

Applications are reviewed on a rolling basis until the fellowship cohort is full. Early application is encouraged for best consideration.

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