Saas Contracting Attorney - AI Fellowship | $80-$105/hr Remote
Overview
This role involves applying SaaS contract expertise to train next-generation AI systems through simulated contract negotiations and redlining exercises. The attorney will evaluate AI-generated suggestions for accuracy and risk, provide expert feedback, and collaborate with product and research teams to refine training data and guidelines. No prior AI experience is required—only domain knowledge in SaaS contracting.
What You'll Do5
- 1Perform simulated contract negotiations and redlining exercises to train AI models.
- 2Evaluate AI-generated suggestions for accuracy, risk identification, and legal soundness.
- 3Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance.
- 4Collaborate with product and research teams to refine training data, annotation guidelines, and best practices for AI-driven contract review.
- 5Translate legal expertise into actionable feedback for AI systems.
Requirements5
- 1J.D. from an ABA-accredited law school and active bar admission in at least one U.S. jurisdiction.
- 2Minimum of 3 years of in-house experience focused on technology transactions, particularly SaaS contract review, negotiation, and redlining.
- 3Exceptional written and verbal communication skills with meticulous attention to detail.
- 4Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
- 5Demonstrated commitment to innovation at the intersection of law and technology.
Who Should Apply
The ideal candidate is an experienced in-house SaaS contract attorney with strong analytical and communication skills, a keen eye for detail, and a passion for legal tech innovation. This role suits someone comfortable working cross-functionally in a fast-paced environment and eager to shape how AI systems learn legal reasoning.
Salary Insight
$80–$105 per hour, part-time (5-20 hours per week), one-month fellowship duration.
Required Skills
Application Tip
Submit your application early—by April 30 for the best chance—as the cohort is filled on a rolling basis and closes once full.