In-House Counsel for Legal AI Training

Apply your in-house technology transactions experience to legal AI research focused on contract review, negotiation, risk analysis, and redlining. This part-time, remote contract role centers on evaluating and improving how advanced AI models interpret contract language and perform real-world legal tasks. Key Responsibilities

• Complete simulated contract negotiations and contract redlining exercises.
• Review and assess AI-generated responses to contract scenarios, providing expert feedback that improves accuracy, legal reasoning, and output precision.
• Develop objective evaluation frameworks and grading criteria for assessing AI performance on contract-related tasks consistently and rigorously.
• Work with product and research teams to improve data, guidelines, and best practices used in AI-driven contract review.
• Apply practical legal judgment to help improve how AI systems identify contractual risk and interpret legal language.

• At least 3 years of in-house legal experience focused on technology transactions.
• Substantial experience drafting, reviewing, negotiating, and redlining technology-related contracts.
• Experience negotiating MSAs, NDAs, ISDAs, and derivatives-related agreements.
• Exceptional written and verbal communication skills.
• Meticulous attention to detail.
• Strong analytical skills and the ability to translate legal expertise into actionable feedback for AI systems.
• Demonstrated interest in innovation at the intersection of law and technology.
• Experience working with cross-disciplinary teams in fast-paced environments.

• Previous exposure to artificial intelligence, legal technology, or training initiatives.

• Remote, part-time contractor engagement.
• Work is organized around individual contract-related tasks.

• Compensation is task-based rather than a guaranteed hourly wage.
• Typical task handling time is approximately 3.5 hours.
• The stated equivalent pay range is $90 to $130 per hour, with the effective hourly rate depending on the number of completed tasks that meet project specifications and are successfully approved.

This work contributes to the development and evaluation of AI systems intended for legal practitioners, providing an opportunity to apply technology-transactions expertise in a legal research environment.

This opportunity is currently closed and is not accepting applications.