Join an innovative initiative to build realistic enterprise environments for training and evaluating frontier AI agents. This role involves leveraging your extensive litigation experience to recreate the digital workspaces used in sophisticated legal practices. You will design tasks that challenge state-of-the-art AI, drawing from your expertise in commercial, securities, IP, employment, or regulatory-enforcement litigation.

• Construct a realistic digital workspace that reflects your daily use of tools, files, and case-management workflows, including pleadings, motions, and discovery requests.
• Design multi-step tasks based on actual workflows, structured around end-to-end litigation processes that require navigating multiple applications and stakeholders.
• Collaborate with fellow litigation experts to shape the environment, define task scope, and ensure realism and rigor in each scenario.
• Work asynchronously with research teams to refine task designs and establish evaluation criteria for litigation agent benchmarks.
• Contribute to cutting-edge AI research and benchmarking, with your work directly influencing how leading labs train and evaluate the next generation of AI systems.

• JD and active bar admission.
• 3+ years of full-time litigation experience at an AmLaw 100 firm or Fortune 500 in-house litigation group.
• Experience in one or more areas such as:
• Commercial / complex-commercial litigation.
• Securities, consumer-class, or antitrust litigation.
• IP litigation (patent, trademark, trade-secret).
• Employment / labor or discrimination litigation.
• White-collar defense or regulatory enforcement (SEC, DOJ, CFTC, FTC).
• Proficient in using Relativity (RelativityOne) / Nuix Discover, Westlaw / LexisNexis, and Clio / MyCase.
• Strong analytical thinking and writing skills, with the ability to translate litigation workflows into structured task specifications.

• Task Completion Pay: Competitive, based on task quality (~$1, 250, $1, 750 per completed task, subject to change as the project evolves).
• Performance Bonus: Top performers receive a weekly bonus incentive in addition to their per task rate.
• Hourly Opportunity: Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.