M&A Attorney

Weekday AI; United States; Remote; USD 124,000 - 179,000; Part time

Job summary

Weekday AI is seeking an experienced M&A Attorney for a remote, part-time contractor role in the United States. The position focuses on evaluating AI-generated contract work, drafting and redlining M&A documents, and shaping AI-enabled legal solutions through structured feedback.

Ideal candidates will have a JD from an ABA-accredited school, active bar admission, and at least two years in M&A practice.

Qualifications

• J.D. from ABA-accredited law school required.
• Active bar membership in at least one U.S. jurisdiction required.
• 2+ years in M&A at a corporate law firm.
• Familiar with APAs and SPAs.
• Excellent written and verbal communication.

Responsibilities

• Perform simulated M&A contract negotiations and redlining exercises across varied transaction documents.
• Review and evaluate AI-generated responses to M&A scenarios, giving detailed feedback.
• Develop evaluation frameworks, rubrics, and quality standards for AI performance in transactional law.
• Collaborate with product, research, and engineering teams to refine AI training datasets and guidelines.
• Identify contractual risks and suggest drafting improvements in M&A agreements.

Skills

M&A law

Contract drafting

Redlining

AI/Legal tech familiarity

Communication

Cross-functional collaboration

Education

Juris Doctor (J.D.) from ABA-accredited law school

Job description

This role is for one of our clients $90?- $130/hourpay

Role Title:?M&A Attorney Role Type:?Contractor Location:?Remote

We are seeking experienced M&A Attorneys for a part-time opportunity at the intersection of legal expertise and artificial intelligence. This role is designed for accomplished corporate lawyers with significant experience in mergers and acquisitions who are interested in helping shape the next generation of AI-powered legal solutions. Leveraging your expertise in drafting, reviewing, negotiating, and redlining complex transaction documents, you will evaluate AI-generated legal work, contribute to the development of high-quality training data, and help improve how AI systems interpret contract language, identify transactional risks, and support legal decision-making.

Key Responsibilities

• Perform simulated M&A contract negotiations and redlining exercises across a variety of transaction documents.
• Review and evaluate AI-generated responses to M&A-related legal scenarios, providing detailed feedback to improve model accuracy and legal reasoning.
• Develop structured evaluation frameworks, scoring rubrics, and quality standards for assessing AI performance on transactional legal tasks.
• Collaborate with multidisciplinary product, research, and engineering teams to refine AI training datasets, legal guidelines, and best practices.
• Apply practical legal judgment to identify contractual risks, negotiation strategies, and drafting improvements within complex M&A agreements.
• Contribute subject matter expertise to enhance AI systems designed for transactional law, contract review, and legal analysis.

Required Qualifications

• Juris Doctor (J.D.) from an ABA-accredited law school.
• Active bar membership in at least one U.S. jurisdiction.
• Minimum 2 years of experience in the Mergers & Acquisitions (M&A) practice group of a corporate law firm.
• Strong familiarity with standard M&A transaction documents, including Asset Purchase Agreements (APAs) and Stock Purchase Agreements (SPAs).
• Excellent written and verbal communication skills with exceptional attention to detail.
• Strong analytical and critical thinking abilities with the capability to translate legal expertise into structured, actionable feedback.
• Demonstrated interest in legal innovation and emerging technologies.
• Experience collaborating with cross-functional teams in fast-paced, dynamic environments.

Preferred Qualifications

• Previous experience working with AI, legal technology platforms, or AI training and evaluation projects.
• Experience advising private equity firms or participating in private equity transactions.
• Familiarity with legal operations, contract lifecycle management (CLM) platforms, or enterprise legal technology solutions.