Remote In-House Counsel - Tech Transactions (Contractor)

YO AI Labs

Seattle (WA)

Remote

USD 90,000 - 140,000

Part time

14 days+

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Job summary

YO AI Labs seeks an experienced In-House Counsel with a strong background in technology transactions to contribute to AI-focused contracting projects. This part-time remote role emphasizes drafting, review, redlining, and negotiation of tech agreements.

You will evaluate AI-generated contract outputs, identify risks, and provide actionable feedback to improve contract analysis and negotiation workflows, collaborating with product, legal, and research teams.

Qualifications

Minimum 3 years of in-house legal experience focused on technology transactions.
Experience negotiating and redlining MSAs, NDAs, DPAs, and other tech agreements.
Strong understanding of technology contracting, risk allocation, and commercial negotiation.
Exceptional written and verbal communication with meticulous attention to detail.
Ability to translate legal expertise into clear, actionable feedback.
Ability to evaluate contractual language objectively and consistently.
Demonstrated interest in innovation at the intersection of law and technology.
Experience collaborating with cross-functional teams in fast-paced environments.

Responsibilities

Perform simulated contract negotiations and redlining exercises involving technology transactions.
Draft, review, analyze, and revise commercial agreements, including MSAs, NDAs, DPAs, and related technology contracts.
Evaluate AI-generated responses to contract scenarios for legal accuracy, commercial reasonableness, risk identification, and drafting quality.
Provide clear, actionable feedback to improve AI-generated contract analysis and redlining outputs.
Develop objective evaluation frameworks, rubrics, and grading criteria for assessing AI performance on contract drafting, review, and negotiation tasks.
Identify contractual risks, ambiguities, unfavorable provisions, and negotiation opportunities.
Assess whether proposed revisions reflect business objectives and acceptable legal risk.
Collaborate with product, legal, and research teams to refine datasets, evaluation guidelines, and best practices for AI-driven contract review.
Contribute practical insights into how experienced in-house counsel approach contract negotiations and risk allocation.