eDiscovery Data Analytics and Manage Review Specialist,...

The eDiscovery Data Analytics and Manage Review Specialist (AI Centric) will work directly with the Innovations team to implement AI workflows and validate review outcomes using statistical or structured QC methods. The focus will be on defensible, intelligence-powered, technology-driven workflows leverage AI and advanced technology while incorporating appropriate human judgement.eDiscovery Data Analyst and Manage Review Specialist (AI Centric) Required Experience3-7+ years in eDiscovery, with hands-on experience in document review and analyticsDirect experience designing and executing TAR workflows (Active Learning preferred)Experience validating review outcomes using statistical or structured QC methodsStrong familiarity with Relativity, Everlaw, or similar platformsExperience working with large, complex datasets (100k+ to multi-million document matters)eDiscovery Data Analyst and Manage Review Specialist (AI Centric) Beneficial ExperienceExperience applying Generative AI in legal or eDiscovery workflowsBackground in investigations, regulatory matters, or complex litigationExperience with privilege review, breach response and sensitive data identificationFamiliarity with analytics tools (clustering, visualization, concept search)Experience drafting defensibility documentation or supporting expert testimonyeDiscovery Data Analyst and Manage Review Specialist (AI Centric) Core ResponsibilitiesClient Advisory & StrategyAdvise clients and case teams on best practices for AI-enabled review and analyticsCommunicate complex analytical concepts in practical, decision-oriented termsSupport case strategy with data-driven insights (key documents, players, timelines, patterns)TAR & General AI-Enabled eDiscovery Review and Investigation Workflow DesignDesign, execute, and validate advanced analytics and AI-enabled eDiscovery document review and investigation workflows that improve speed to insight, review accuracy, and defensibilityCombine advanced analytics, Technology Assisted Review (TAR), and Generative AI with expert human judgment and oversightTranslate eDiscovery document review strategy and legal requirements into structured, repeatable workflows that drive better outcomesTranslate complaints, RFPs, and investigative objectives into structured issue frameworks and review instructionsCalibrate AI review performance using iterative sampling, validation, and performance measurementValidation, Defensibility & AuditabilityDesign and execute validation protocols (sampling, QC, recall estimation)Maintain defensible audit trails linking decisions to document evidenceSupport expert reporting, declarations, and client defensibility requirements

Created: 2026-05-09