AI-Focused Transactional Attorney (Remote, Part-Time)

United States Digital Space LLC

United States

Remote

USD 83,000 - 165,000

Part time

7 days ago
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Job summary

United States Digital Space LLC seeks a part-time, remote transactional attorney to support AI-driven contract review in a cutting-edge legal tech environment. If you have 3+ years of in-house tech transactions, including MSAs, NDAs, ISDA derivatives, and a proven redlining track record, you will help train and evaluate AI for real-world contracts.

This contractor role offers task-based compensation with flexible scheduling and collaboration with product and research teams to refine data,

Qualifications

  • Minimum 3 years in-house experience in technology transactions (MSAs, NDAs, ISDA/Derivatives).
  • Excellent written and verbal communication with meticulous attention to detail.
  • Ability to translate legal expertise into actionable feedback for AI systems.
  • Experience collaborating with cross-disciplinary teams in fast-paced environments.

Responsibilities

  • Perform simulated contract negotiations and redlining exercises.
  • Review AI responses to contract scenarios and provide expert feedback to improve model performance.
  • Create objective evaluation frameworks and grading criteria for AI contract tasks.
  • Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.

Skills

In-House experience
Technology transactions
MSAs negotiation
NDAs
ISDA/Derivatives
Communication skills
Analytical skills
AI feedback to systems
Cross-functional collaboration
Fast-paced environments

Job description

United States Digital Space LLC seeks a part-time, remote transactional attorney to support AI-driven contract review in a cutting-edge legal tech environment. If you have 3+ years of in-house tech transactions, including MSAs, NDAs, ISDA derivatives, and a proven redlining track record, you will help train and evaluate AI for real-world contracts.

This contractor role offers task-based compensation with flexible scheduling and collaboration with product and research teams to refine data,

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