Saas Contracting Attorney - AI Fellowship

Unlock Employer

Posted Apr 20, 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 legal AI tools used in contract review and negotiation.

Responsibilities

  • Perform 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.
  • Experience working with cross-disciplinary teams in fast-paced environments.
  • Demonstrated commitment to innovation at the intersection of law and technology.

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 cohort is full. Early application is encouraged for best consideration.

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