Transactional Attorney

Weekday 1; United States; Remote; USD 124,000 - 179,000; Part time

Job summary

Weekday 1 is seeking experienced Transactional Attorneys for a part-time, remote role in the United States, paying $90-$130 per hour. You will draft, review, negotiate, and redline commercial technology agreements and help train AI systems used in real-world legal workflows.

Ideal candidates have a JD, active bar, 3+ years in-house tech transactions, and experience with MSAs, DPAs, and NDAs. You will collaborate with product, research, and engineering teams to refine AI training data and improve

Qualifications

• J.D. from ABA-accredited law school and active bar membership in at least one U.S. jurisdiction.
• Minimum 3 years of in-house legal experience focused on technology transactions.
• Extensive drafting, negotiating, reviewing, and redlining of commercial agreements including MSAs, NDAs, and DPAs.

Responsibilities

• Perform simulated contract negotiations and redlining across commercial agreements.
• Review AI-generated responses to contract scenarios and provide detailed legal feedback.
• Develop objective evaluation criteria, scoring rubrics, and quality standards for AI contract tasks.
• Collaborate with product, research, and engineering teams to refine AI training data and guidelines.
• Apply practical legal judgment to identify risks, ambiguities, and negotiation strategies.

Skills

In-house experience

Tech transactions

Drafting & redlining

Negotiation skills

Education

J.D. from ABA-accredited law school

Tools

NDA/MSA/DPAs drafting

CLM platforms familiarity

Job description

This role is for one of our clients

$90- $130/hourpay

Job Title:Transactional Attorney

Job Type:Contractor

Location:Remote

We are seeking experienced Transactional Attorneys for a part-time opportunity at the forefront of legal AI innovation. This role is ideal for accomplished in-house legal professionals who are passionate about shaping the future of AI-powered legal solutions. Leveraging your expertise in drafting, reviewing, negotiating, and redlining commercial technology agreements, you will help train and evaluate advanced AI systems used in real-world legal workflows.

Your contributions will directly improve how AI models identify contractual risks, interpret legal language, and provide accurate, context-aware recommendations for contract analysis and negotiation.

Requirements

Key Responsibilities

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

Required Qualifications

• Juris Doctor (J.D.) from an ABA-accredited law school.
• Active bar membership in at least one U.S. jurisdiction.
• Minimum 3 years of in-house legal experience focused on technology transactions.
• Extensive experience drafting, negotiating, reviewing, and redlining commercial agreements, including Master Services Agreements (MSAs), Non-Disclosure Agreements (NDAs), and Data Processing Agreements (DPAs).
• Excellent written and verbal communication skills with exceptional attention to detail.
• Strong analytical and problem-solving 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 environments.

Preferred Qualifications

• Previous experience working with AI, legal technology platforms, or AI training and evaluation projects.
• Background in a corporate law firm with experience in Mergers & Acquisitions (M&A) or private equity fund formation.
• Familiarity with legal operations, contract lifecycle management (CLM) platforms, or enterprise contract management solutions.