Remote | Corporate Transactions Attorney — $90–$130/hour

24-Mag•New York, NY

8h•Remote

About The Position

24-MAG LLC is offering a fully remote, part-time independent contractor consulting engagement for experienced Corporate Transactions Attorneys contributing to an advanced legal AI training and contract-evaluation project. The work centers on corporate and M&A contract review, drafting, negotiation simulations, redlining, evaluation of AI-generated legal responses, and development of standards for assessing transactional legal work. Assignments may include SPAs, APAs, and related corporate transaction documents. Project scope, workload, agreement types, and evaluation standards may evolve based on project requirements. Compensation is listed at $90–$130 per hour, but the actual payment structure is task-based: payment is made per completed task that meets project specifications. Average handling time is approximately 3.5 hours per task, and effective hourly earnings may vary based on task completion time and successful sign-off. Work must be completed without using confidential or privileged information belonging to any employer, client, law firm, institution, or other third party. The opportunity is available through 24-MAG LLC, which connects experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. Application information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with its Privacy Policy.

Requirements

J.D. from an ABA-accredited law school.
Active bar admission in at least one U.S. jurisdiction.
At least 2 years of experience in the M&A department of a corporate law firm.
Strong experience with mergers and acquisitions and corporate transactional work.
Familiarity with standard M&A agreements, including SPAs and APAs.
Strong contract-drafting, negotiation, and redlining skills.
Excellent written and verbal communication skills.
Meticulous attention to detail and strong analytical judgment.
Ability to translate legal expertise into structured evaluation feedback.
Comfort working with cross-disciplinary teams in fast-paced environments.
Work must be completed without using confidential or privileged information belonging to an employer, client, law firm, institution, or other third party.

Nice To Haves

Experience working with private equity firms.
Prior exposure to AI, legal technology, or related training initiatives; beneficial but not required.

Responsibilities

Draft, review, and analyse agreements used in corporate and M&A transactions, including SPAs and APAs.
Identify contractual risks, inconsistencies, and drafting weaknesses, and assess whether provisions reflect the intended transaction structure.
Apply professional transactional standards throughout contract-review workflows.
Perform simulated contract negotiations and redlining exercises.
Evaluate alternative drafting positions and negotiation approaches, including their legal, commercial, and risk-allocation implications.
Refine contractual language for clarity, precision, and enforceability, and maintain consistency across iterative negotiations and redlines.
Review AI-generated responses to corporate transaction and contract scenarios, assessing legal reasoning, drafting quality, and transactional judgment.
Identify weak interpretations, inappropriate redlines, or unsupported conclusions and assess whether proposed revisions appropriately address transaction risk.
Provide structured expert feedback to support model improvement.
Develop objective evaluation frameworks and criteria for drafting quality, legal reasoning, negotiation judgment, and risk identification.
Establish consistent standards for evaluating AI-generated contract work and document why responses are strong, incomplete, or incorrect.
Support rigorous, repeatable model-evaluation workflows.
Collaborate with product, research, and technical teams on contract-review initiatives.
Translate corporate-transactions expertise into clear, actionable feedback and help refine legal datasets, review guidelines, and evaluation standards.
Communicate complex M&A concepts across multidisciplinary teams and contribute to best practices for AI-assisted transactional legal analysis.