M&A Attorney for AI Model Training

Work at the intersection of M&A practice and legal AI, using your transactional drafting, negotiation, and redlining expertise to train and evaluate advanced contract review models. In this part-time contractor role, you will perform simulated negotiations, critique AI outputs, and help create rigorous evaluation frameworks so AI systems better identify risk and interpret contract language in real-world deals.

• Perform simulated contract negotiations and redlining exercises that mirror real M&A transactions.
• Review and assess AI-generated responses to contract scenarios, providing precise, actionable feedback to improve model performance.
• Develop objective evaluation frameworks and grading criteria to measure AI performance on contract drafting, negotiation, and redlining tasks.
• Collaborate with product and research teams to refine training data, guidelines, and best practices for AI-driven contract review solutions.

• J.D. from an ABA-accredited law school.
• Active bar admission in at least one U.S. jurisdiction.
• Minimum of 2 years of experience in the M&A department of a corporate law firm.
• Hands-on familiarity with standard M&A agreements, including asset purchase agreements and stock purchase agreements.
• Proven experience with contract negotiations and redlining workflows.
• Exceptional written and verbal communication skills and meticulous attention to detail.
• Strong analytical ability, with a track record of translating legal judgment into clear, actionable feedback.
• Comfort working with cross-disciplinary teams in fast-paced environments, and a demonstrated interest in legal technology and innovation.

• Prior exposure to AI, machine learning, or legal technology training initiatives.
• Experience working with private equity firms or on private equity-related M&A matters.

• Engagement type, contractor, part-time.
• Fully remote role.

Pay range: $90 to $130 per hour.

• Must hold an active bar admission in at least one U.S. jurisdiction.
• Must have the required M&A experience, specifically at least 2 years in an M&A group at a corporate law firm.

The organization is an AI data lab focused on converting expert subject-matter knowledge into high-quality training data and evaluation workflows for frontier AI models. Contributors help improve how AI systems learn, reason, and perform across domains, including finance and legal practice.