E-Discovery Analytics Advisor

E-Discovery Analytics Advisor Overview

• The E-Discovery Analytics Advisor guides case teams in leveraging e-discovery technology throughout the lifecycle, emphasizing generative AI tools.
• Provide expertise on RelativityOne aiR suite applications for document review, privilege analysis, and case strategy development.
• Draft and refine AI criteria and prompts, ensuring validation and defensibility in workflows.
• Develop protocols for AI-assisted document review, privilege review, and production quality control.
• Design defensibility measures for AI workflows, including sampling plans and precision metrics.
• Support pre-production workflows, including privilege identification and redaction quality control.
• Train attorneys on e-discovery technology, focusing on generative AI tools and practical applications.
• Stay updated on generative AI developments in e-discovery and translate insights into practice.

E-Discovery Analytics Advisor Key Responsibilities & Duties

• Consult with case teams on effective e-discovery technology application to achieve case goals.
• Advise teams on RelativityOne aiR suite use cases, scoping, and expected outcomes.
• Draft and test AI criteria for relevance, privilege, and custom analyses.
• Implement protocols for AI-assisted workflows and quality control measures.
• Design defensibility measures for AI workflows, ensuring compliance with legal standards.
• Support pre-production workflows, including privilege log generation and redaction quality control.
• Provide user management support for e-discovery applications like RelativityOne and Opus 2.
• Train attorneys and colleagues on generative AI tools and their practical applications.
• Monitor industry developments and adapt practices to align with evolving standards.

E-Discovery Analytics Advisor Job Requirements

• Bachelor's degree required, preferably in a related field.
• Relativity certifications preferred; hands-on experience with Relativity aiR strongly desired.
• Minimum of three years of e-discovery experience, advising on technology applications.
• Proven experience applying generative AI to document review and privilege workflows.
• Knowledge of advanced e-discovery tools like predictive coding and data analytics.
• Understanding of prompt engineering principles and validation concepts.
• Familiarity with statistical validation methods for review quality control.
• Awareness of ethical considerations in AI use for legal work.
• Ability to manage multiple projects and priorities effectively.