Overview
Contractor/Part-Time Project opportunity for experienced in-house legal professionals to support a Legal AI training and evaluation initiative focused on technology transactions and contract-redlining workflows.
Location
Remote
Engagement
Contractor / Part-Time Project
Compensation
USD $90–$200/hour
Responsibilities
- Conduct simulated contract negotiations and redlining exercises based on realistic commercial scenarios.
- Review and assess AI-generated responses to complex contract scenarios.
- Evaluate whether AI-generated contract revisions appropriately identify and address legal and commercial risks.
- Provide structured expert feedback to improve model accuracy, reasoning, and output quality.
- Apply professional legal judgment when reviewing contractual provisions and proposed redlines.
- Develop objective evaluation frameworks and grading criteria to assess AI performance on contract-related tasks.
- Ensure evaluation criteria are rigorous, consistent, and grounded in real-world legal practice.
- Collaborate with product and research teams to improve training data, guidelines, evaluation methodologies, and best practices for AI-driven contract review.
- Contribute insights drawn from real-world in-house legal practice to improve the precision and commercial relevance of AI contract-review systems.
Required Qualifications
- Minimum 3+ years of in-house legal experience, with a strong focus on technology transactions.
- Deep hands-on experience negotiating MSAs, NDAs, DPAs, and other commercial technology agreements.
- Strong contract drafting, review, negotiation, and redlining capabilities.
- Excellent legal judgment and ability to identify meaningful commercial and contractual risks.
- Strong analytical ability and capacity to translate complex legal reasoning into clear, actionable feedback.
- Exceptional written and verbal communication skills.
- Meticulous attention to detail.
- Ability to evaluate legal work objectively and consistently against defined criteria.
- Experience collaborating with cross-functional or multidisciplinary teams in fast-paced environments.
- Strong interest in the intersection of law, technology, and artificial intelligence.
- Ability to work independently in a remote project environment.
U.S. legal credentials may be required for this opportunity; candidates should review the official application requirements regarding J.D. and U.S. bar admission before applying.
Preferred Qualifications
- Prior exposure to AI, LegalTech, or AI training/evaluation initiatives.
- Experience using AI-enabled legal or contract-review technologies.
- Experience with technology companies, SaaS businesses, or other sophisticated commercial environments.
- Strong understanding of data privacy and technology-related contractual issues.
- Experience developing legal playbooks, evaluation criteria, or structured contract-review methodologies.
- Experience at a corporate law firm in areas such as M&A or private-equity fund formation is advantageous.
Core Contract Experience
Substantial hands-on experience drafting, reviewing, negotiating, and redlining commercial and technology agreements, particularly:
- Master Services Agreements (MSAs)
- Non-Disclosure Agreements (NDAs)
- Data Processing Agreements (DPAs)
- SaaS and software agreements
- Technology transactions
- Commercial services agreements
- Data/privacy-related contractual provisions
- Other sophisticated B2B technology contracts
Key Skills
- Technology Transactions
- Commercial Contracting
- Contract Drafting
- Contract Review
- Contract Redlining
- Contract Negotiation
- In-House Legal Experience
- Legal Risk Assessment
- MSAs, NDAs, DPAs
- SaaS / Technology Agreements
- Legal Analysis
- Legal AI Evaluation
- Structured Feedback
- Attention to Detail
Why This Opportunity
This project supports work at the intersection of law and advanced artificial intelligence, leveraging real-world legal expertise to help improve AI interpretation of sophisticated commercial agreements, enhance AI-assisted contract-review/redlining capabilities, and establish rigorous benchmarks for evaluating AI legal reasoning.
Previous AI experience is not required; professional legal judgment and technology-transactions experience are the primary qualifications.