Remote Litigation Associate: M&A, PE & Data Privacy

YO AI Labs

Town of Texas (WI)

Remote

USD 103,000 - 165,000

Full time

14 days+

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Job summary

YO AI Labs in the United States seeks a seasoned Litigation Associate Attorney (contractor) to contribute legal expertise to a project training and evaluating next‑generation AI systems. You will review complex litigation and transactional documents, draft provisions, and provide structured legal feedback.

The ideal candidate has AmLaw 100 experience, deep M&A, private equity, capital markets, data privacy, and stellar written communication.

Qualifications

JD from a US law school and active bar admission in good standing in at least one US jurisdiction.
Experience at an AmLaw 100 or similarly prestigious US law firm.
Demonstrated experience handling complex litigation and sophisticated transactional matters.
Strong expertise in M&A, private equity, capital markets, contract drafting, and data privacy.
Experience drafting and reviewing high-value commercial agreements and transaction documents.
Exceptional written communication skills and the ability to articulate sophisticated legal reasoning clearly for varied audiences.

Responsibilities

Review, analyze, and evaluate complex litigation and transactional documents, including agreements involving M&A, private equity, and capital markets.
Draft sample agreements, contractual provisions, and legal clauses based on sophisticated transactional scenarios.
Analyze legal scenarios and provide structured commentary to support AI model training and evaluation.
Evaluate issues involving data privacy, cross-border transactions, contractual risk, and complex commercial matters.
Apply practical legal judgment to simulated litigation and transactional scenarios.
Develop and contribute to legal frameworks, evaluation criteria, and structured review rubrics.
Identify legal risks, ambiguities, inconsistencies, and potential issues in AI-generated legal content.
Provide precise and actionable feedback to improve the accuracy and practical applicability of AI-generated legal work.
Collaborate remotely with interdisciplinary teams, including legal, research, and technology professionals.
Participate in iterative review and feedback cycles to refine training data and legal evaluation standards.