Senior AI & Analytics Consultant — Legal eDiscovery

Epiq; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Epiq is seeking an Advanced Technologies Consultant in Greater London to guide defensible use of analytics, machine learning, and generative AI across eDiscovery and related legal data workflows. You will work with Relativity, Reveal AI, and Epiq AI to design workflows, validate models, and present client-ready recommendations.

The role requires strong eDiscovery experience, excellent communication, and the ability to translate technical concepts into practical advice for clients and internal

Qualifications

• Bachelor’s degree or equivalent professional experience.
• 5+ years client-facing experience in eDiscovery or related field.
• Experience with eDiscovery review platforms and AI tools.
• Strong ability to translate technical concepts for clients.

Responsibilities

• Serve as SME on advanced analytics, TAR, and generative AI in eDiscovery.
• Design defensible workflows using TAR 1.0/2.0 and AI-assisted methods.
• Build and refine analytics models across Relativity, Epiq AI, and Reveal AI.
• Develop prompts and model guidance for LLM-enabled tools.
• Advise clients on risks, defensibility, and QC for AI-enabled reviews.
• Explain statistical concepts and validation to non-technical audiences.
• Mentor colleagues and support knowledge transfer.

Skills

Client consultation

eDiscovery workflow

Technology-assisted review

Generative AI

Analytics model setup

Prompt development

Privilege review

Review management

Education

Bachelor’s degree or equivalent

JD/LLB / MBA / MSc (preferred)

Tools

Relativity Server/RelativityOne

Reveal AI

Epiq AI

Relativity Certified Administrator

Job description

Epiq is seeking an Advanced Technologies Consultant in Greater London to guide defensible use of analytics, machine learning, and generative AI across eDiscovery and related legal data workflows. You will work with Relativity, Reveal AI, and Epiq AI to design workflows, validate models, and present client-ready recommendations.

The role requires strong eDiscovery experience, excellent communication, and the ability to translate technical concepts into practical advice for clients and internal