Junior Transactional Attorney
About the role
We are seeking Junior Transactional Attorneys for a part time role at the forefront of legal AI. This opportunity is for early career lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real world legal work, especially those who have foundational experience with drafting, reviewing, and redlining within the tech field. In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state of the art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.
What you'll do
- Perform simulated contract negotiations and redlining exercises.
- Review and assess AI responses to contract scenarios, providing feedback to improve model performance and output precision.
- Apply objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
- Collaborate with product and research teams to refine data, guidelines, and best practices for AI driven contract review solutions.
Requirements
- 1 to 3 years of experience (in house or law firm) focused on transactional work, with exposure to agreements such as MSAs and NDAs.
- Exceptional written and verbal communication skills with meticulous attention to detail.
- Strong analytical capabilities and ability to translate legal knowledge into actionable feedback for AI systems.
- Demonstrated interest in innovation at the intersection of law and technology.
- Ability to work with cross disciplinary teams in fast paced environments.
- Preferred: Prior exposure to AI, legal tech, or training initiatives.
- Preferred: Experience or internship at a corporate law firm, ideally touching M&A or fund formation work.
About micro1
micro1 is a data lab that helps AI labs and large companies train AI models and agents. It finds and checks skilled people from many fields, like law, medicine, finance and coding, to produce the training data that makes AI work better.
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