Consultant, eDiscovery Technology

Overview

This role is for a client-facing Consultant, eDiscovery Technology. You will scope analytics and AI-assisted review with counsel, design matter workflows, lead engagements through execution and validation, and explain results in plain language. The work is applied legal technology consulting, not software engineering.

Responsibilities

Scope and lead matters end-to-end

• Consult with clients, counsel, and project managers to understand the matter, data, protocol, and deadlines, and recommend an approach (including TAR 1.0, continuous active learning, generative AI relevance/privilege review, structured analytics, or a combination).
• Lead assigned matters end-to-end: workflow design, setup in Relativity or Nebula, execution with technologists, validation, and delivery within SLA.
• Design and run validation, including sampling design and recall/elusion estimates and precision.
• Produce documentation that makes results defensible.
• Present findings and validation results to counsel in plain language, and support protocol discussions and, when needed, declarations on methodology.

Generative AI and analytics expertise

• Design and iterate prompts for generative AI relevance and privilege classifiers; measure performance results and know when to stop tuning.
• Apply AI governance on each matter, including client data boundaries, client-specific AI restrictions, privilege protections, and audit trail.
• Participate in pilots of in-house AI review capabilities and provide practitioner feedback to the practice and Product.
• Stay current on TAR, continuous active learning, generative AI review tools, and structured analytics.

Pre-sales and client education

• Support Advisory and Sales in pursuits, including pre-sales calls, demos, RFP responses, and client education sessions on AI-assisted review.
• Help define and refine packaged offerings by translating matter experience into scope, effort, and pricing assumptions.

Playbooks and mentoring

• Build and maintain playbooks, validation templates, prompt libraries, and client-facing result summaries to support consistent quality.
• Mentor technologists by pairing on matters, reviewing work, and coaching toward the consultant track.
• Accurately record time and keep matter tracking current to ensure utilization and billing accuracy.

Requirements

• 5+ years in eDiscovery, with 3+ years hands-on applying advanced analytics and AI-assisted review on client matters.
• Deep working knowledge of TAR 1.0 and 2.0 and continuous active learning, including validation statistics.
• Hands-on experience with at least one generative AI review tool (Relativity aiR, eDiscovery AI, or equivalent), including prompt design.
• Working knowledge of Relativity and RelativityOne.
• Structured analytics experience (Brainspace, Reveal, or similar) is a plus.
• Client-facing experience: scoped analytics work with counsel and explained validation results to a non-technical legal audience.
• Clear, direct written and verbal communication; ability to run several matters at once to deadline.
• Bachelor’s degree or equivalent experience.
• Relativity certifications (RCA, Analytics Specialist), CEDS, or equivalent a plus.
• Legal background or JD a plus.
• Eligible to work in the US.

Preferred Qualifications

• Relativity certifications (RCA, Analytics Specialist)
• CEDS or equivalent
• Legal background or JD
• Structured analytics experience (Brainspace, Reveal, or similar)

Compensation & Benefits

• Market-competitive compensation and performance bonus.
• Medical, dental, and vision benefits.
• Company-provided life insurance and short- and long-term disability.
• Paid time off.
• 401(k) retirement plan with company match.
• Training and certification support, including Relativity and generative AI review tools, and a defined career path inside the practice.
• Reasonable estimate of the current annualized base pay range: $91,000 to $114,000 (individual compensation will vary).

Location

• Remote, US-based; working US business hours.
• Deadline-driven work with evenings and occasional weekends as part of the job, shared across the team through a coverage schedule.
• Occasional travel up to 10% for client meetings and industry events.