Saas Contracting Attorney - AI Fellowship

Unlock Employer

Posted Apr 30, 2026

Remote · US · ask about Worldwide Contract

Overview

A remote, part-time contractor opportunity is available for a SaaS Contracting Attorney to participate in a 1-month Commercial Contracting AI Fellowship. This role involves working with advanced AI systems to help shape how AI is trained, evaluated, and applied in legal contract review, particularly focusing on SaaS agreements.

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 improve AI 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 meticulous 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 initiatives.
  • 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 with a 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. Early application is encouraged to secure a spot before the cohort fills.

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