Overview
This contract role involves applying legal expertise to train next-generation AI systems. The work focuses on shaping how AI models learn, reason, and perform by providing high-quality, real-world legal input.
Responsibilities
- Design and implement legal rubrics for AI-driven document review and analysis.
- Conduct in-depth legal research and draft complex memoranda to guide AI model training and evaluation.
- Analyze large volumes of litigation documents to identify issues, trends, and data points critical for AI improvement.
- Collaborate with cross-functional teams to translate legal insights into actionable AI development requirements.
- Oversee the quality and accuracy of AI outputs, providing feedback to enhance discovery management and motion practice.
- Develop case strategies and motion practice templates to inform machine learning models in legal contexts.
- Continuously review and refine rubric criteria to align with evolving legal standards and best practices.
Requirements
- Juris Doctor (JD) degree and active bar membership.
- Active bar admission in at least one U.S. jurisdiction.
- Minimum 5 years of litigation experience, with a strong track record managing document-intensive cases through discovery and dispositive motions.
- Exceptional legal research, writing, and analytical skills, especially in issue spotting and document analysis.
- Demonstrated expertise in case strategy development and motion practice.
- Proven ability to manage discovery processes and oversee complex legal document review projects.
- Excellent written and verbal communication skills with meticulous attention to detail.
- Technological proficiency and comfort working in remote, digital-first environments.
Preferred Qualifications
- Experience with Law Review or Journal Editorial work, including substantive editing, cite-checking, and publication review of scholarly legal articles.
Location
Job Type