Attorney (Instructional Exp) - AI Reviewer - Remote

Job Title: Attorney

Job Type: Contract

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Key Responsibilities

1. Design and implement robust legal rubrics for use in AI-driven document review and analysis processes.
2. Conduct in-depth legal research and draft complex memoranda to guide AI model training and evaluation.
3. Analyze large volumes of litigation documents to identify issues, trends, and data points vital for AI improvement.
4. Collaborate with cross-functional teams to translate legal insights into actionable requirements for AI development.
5. Oversee the quality and accuracy of AI outputs, providing feedback to enhance discovery management and motion practice capabilities.
6. Develop case strategies and motion practice templates that inform machine learning models in legal contexts.
7. Continuously review and refine rubric criteria to align with evolving legal standards and best practices.

Required Skills and Qualifications

1. Juris Doctor (JD) degree and active bar membership.
2. Active bar admission in at least one U.S. jurisdiction
3. Minimum 5 years of litigation experience, with a strong track record managing document-intensive cases through discovery and dispositive motions.
4. Exceptional legal research, writing, and analytical abilities, with particular skill in issue spotting and document analysis.
5. Demonstrated expertise in case strategy development and motion practice.
6. Proven ability to manage discovery processes and oversee complex legal document review projects.
7. Outstanding written and verbal communication skills, with meticulous attention to detail.
8. Technological acumen and comfort working in remote, digital-first environments.

Preferred Qualifications

1. Law Review or Journal Editorial Experience, including substantive editing, cite-checking, and publication review of scholarly legal articles is highly prefered.