Remote | Investment Funds Attorney — $90–$130/hour

24-Mag•New York, NY

9h•Remote

About The Position

24-MAG LLC is seeking experienced Investment Funds Attorneys for a fully remote, part-time independent contractor consulting engagement supporting an advanced legal AI training and contract-evaluation project. Attorneys will review and assess contract-redlining workflows, perform simulated negotiations, evaluate AI-generated legal responses, and help establish standards for investment-funds contract analysis and legal judgment. Strong hands-on experience with fund formation and sophisticated private-funds transactions is central to the engagement. The work includes reviewing investment-funds documentation, including LPAs, subscription agreements, side letters, ISDAs, and related documents; identifying contractual risks, inconsistencies, and drafting weaknesses; conducting negotiation and redlining exercises; evaluating AI responses and legal reasoning; and developing objective frameworks for grading legal work. Contributors will also collaborate with product, research, and technical teams to refine datasets, guidelines, and review standards. This is a part-time independent contractor engagement. The displayed compensation range is $90–$130 per hour, but compensation is task-based and paid 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. Project scope, workload, document types, and evaluation standards may change according to project requirements. Work must not use confidential or privileged information belonging to any employer, client, law firm, fund, institution, or other third party.

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 funds department of a corporate law firm.
Strong experience with fund formation, fund management, and investment-funds transactions.
Familiarity with LPAs, subscription agreements, side letters, ISDAs, and related documentation.
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.

Nice To Haves

Interest in the intersection of law, technology, and AI.
Prior exposure to AI, legal technology, or related training initiatives; advantageous but not required.

Responsibilities

Review and analyze agreements used in private-funds and investment-management transactions, including LPAs, subscription agreements, side letters, ISDAs, and related documents.
Identify contractual risks, inconsistencies, and drafting weaknesses, and assess whether provisions reflect fund structures and commercial objectives.
Perform simulated contract negotiations and redlining exercises; evaluate drafting alternatives and negotiation approaches, including their legal, commercial, and risk-allocation implications.
Refine contractual language for clarity, precision, and enforceability, and maintain consistency across iterative negotiation and redlining tasks.
Review AI-generated responses to investment-funds and contract scenarios, assessing legal reasoning, drafting quality, transactional judgment, and risk treatment.
Identify inaccurate interpretations, weak redlines, and unsupported conclusions, and provide structured expert feedback to support model improvement.
Develop objective evaluation frameworks and consistent grading standards for legal reasoning, drafting quality, negotiation judgment, and risk identification.
Document why responses to contract tasks are strong, incomplete, or incorrect, and support repeatable model-evaluation workflows.
Collaborate with product, research, and technical teams on contract-review initiatives; translate legal expertise into clear, actionable feedback.
Help refine legal datasets, guidelines, and review standards, and communicate transactional and fund-formation concepts across multidisciplinary teams.
Contribute to evolving best practices for AI-assisted legal analysis.