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 Experience
- 3–7+ years in eDiscovery, with hands-on experience in document review and analytics
- Direct experience designing and executing TAR workflows (Active Learning preferred)
- Experience validating review outcomes using statistical or structured QC methods
- Strong familiarity with Relativity, Everlaw, or similar platforms
- Experience working with large, complex datasets (100k+ to multi-million document matters)
eDiscovery Data Analyst and Manage Review Specialist (AI Centric) Beneficial Experience
- Experience applying Generative AI in legal or eDiscovery workflows
- Background in investigations, regulatory matters, or complex litigation
- Experience with privilege review, breach response and sensitive data identification
- Familiarity with analytics tools (clustering, visualization, concept search)
- Experience drafting defensibility documentation or supporting expert testimony
eDiscovery Data Analyst and Manage Review Specialist (AI Centric) Core Responsibilities
Client Advisory & Strategy
- Advise clients and case teams on best practices for AI-enabled review and analytics
- Communicate complex analytical concepts in practical, decision-oriented terms
- Support case strategy with data-driven insights (key documents, players, timelines, patterns)
TAR & General AI-Enabled eDiscovery Review and Investigation Workflow Design
- Design, execute, and validate advanced analytics and AI-enabled eDiscovery document review and investigation workflows that improve speed to insight, review accuracy, and defensibility
- Combine advanced analytics, Technology Assisted Review (TAR), and Generative AI with expert human judgment and oversight
- Translate eDiscovery document review strategy and legal requirements into structured, repeatable workflows that drive better outcomes
- Translate complaints, RFPs, and investigative objectives into structured issue frameworks and review instructions
- Calibrate AI review performance using iterative sampling, validation, and performance measurement
Validation, Defensibility & Auditability
- Design and execute validation protocols (sampling, QC, recall estimation)
- Maintain defensible audit trails linking decisions to document evidence
- Support expert reporting, declarations, and client defensibility requirements