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M&A Attorney
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 105d ago
The date the source published, not the day we noticed it (2026-07-20). Last seen at its source 2h ago.
We have tracked this listing since 4 Sep 2026 (59 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India, United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay, by region:
- North America $105k–202.5k/yr (684 listings, all levels)
Not enough comparable listings for Asia. Middle 50% of Legal & Compliance listings that do state pay in each region, in the currency most of them state. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workable employer's own board first seen 59d ago · last seen 2h ago
The listing
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.
Requirements
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.