Legal Expert (Corporate & M&A)

micro1 Inc.; United States; Remote; USD 165,000 - 248,000; Part time

Job summary

micro1 Inc. is seeking a remote Legal Expert (Corporate & M&A) on a contract basis to assist on data annotation for AI training related to deal structuring, due diligence, governance, contracts, and securities regulation.

You will apply US corporate and M&A expertise to review and create high-quality, compliant legal tasks for real-world datasets. The role emphasizes accuracy, clear annotation, and collaboration with project stakeholders.

Qualifications

• Active license to practice law in the United States (corporate & M&A).
• 5+ years’ experience advising on or structuring M&A transactions, corporate due diligence, or commercial contracts.
• Deep knowledge of US securities law, compliance frameworks, and governance requirements.
• Demonstrated skill in drafting and reviewing a wide variety of corporate and transactional documents.
• Exceptional written and verbal communication abilities, including clear annotation and documentation.

Responsibilities

• Develop, review, and annotate M&A transaction structuring, corporate governance, due diligence, contracts, and securities law tasks.
• Draft and analyze complex commercial contract scenarios for annotation accuracy.
• Synthesize corporate documents to create reliable training datasets for AI models.
• Provide clear written feedback on legal tasks ensuring compliance and instructional accuracy.
• Collaborate with stakeholders to resolve ambiguities in legal concepts and annotate accordingly.
• Create best-practice guidelines and QA checks for legal data annotation workflows.

Skills

M&A expertise

US securities law

Drafting contracts

Excellent communication

Attention to detail

Job description

Role Title: Legal Expert (Corporate & M&A)

Role Type: Contractor

Location: Remote

micro1 is engaging Legal Experts (Corporate & M&A) to contribute expertise to a customer’s project focused on legal data annotation within M&A, corporate governance, commercial contracts, and securities regulation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This is a unique opportunity for US-based corporate and M&A lawyers to create, review, and refine tasks directly related to deal structuring, due diligence, governance, contracts, and securities law compliance.

Scope of Work

1. Develop, review, and enhance legal data annotation tasks covering M&A transaction structuring, corporate governance, due diligence, contracts, and securities law.
2. Analyze and draft complex commercial contract scenarios to ensure accuracy in annotation and data labeling.
3. Evaluate and synthesize corporate documentation to create reliable training datasets for AI models.
4. Provide detailed written feedback on legal tasks, ensuring clarity, compliance, and instructional accuracy.
5. Collaborate with project stakeholders to resolve ambiguities in legal concepts and annotate accordingly.
6. Generate best-practice guidelines and quality assurance checks for legal data annotation workflows.
7. Stay abreast of US corporate and M&A legal developments, integrating relevant insights into annotation guidance.

Preferred Qualifications

1. Active license to practice law in the United States, with a focus on corporate law and M&A transactions.
2. 5+ years’ experience advising on or structuring M&A transactions, corporate due diligence, or commercial contracts.
3. Deep knowledge of US securities law, compliance frameworks, and governance requirements.
4. Demonstrated skill in drafting and reviewing a wide variety of corporate and transactional documents.
5. Exceptional written and verbal communication abilities, including clear annotation and documentation skills.
6. Prior involvement in legal technology, legal research, or data-driven legal projects is a plus.
7. Detail-oriented, analytical mindset with a commitment to accuracy and best practices in legal data work.