Remote In-House Counsel, Tech Transactions & AI Contracts

YO AI Labs

Houston (TX)

À distance

USD 138 000 - 248 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Remote work

Flexible schedule

Résumé du poste

YO AI Labs seeks an experienced In-House Counsel with a strong background in technology transactions for a part-time, remote engagement. The role focuses on contract drafting, review, redlining, and negotiation within the AI and technology space.

You will work on evaluating AI-driven contract reviews, refining negotiation workflows, and providing actionable feedback to improve automated outputs. This position emphasizes legal judgment and practical risk allocation in fast-paced projects.

Qualifications

Minimum 3 years of in-house legal experience with a focus on technology transactions.
Demonstrated experience negotiating and redlining MSAs, NDAs, DPAs, and other commercial technology agreements.
Strong understanding of technology contracting, contractual risk allocation, and commercial negotiation strategies.
Exceptional written and verbal communication skills with meticulous attention to detail.
Strong analytical and critical-thinking abilities.
Ability to translate legal expertise and professional judgment 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 or multidisciplinary teams in fast-paced environments.

Responsabilités

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 appropriately 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.