This role is well suited to someone with strong eDiscovery experience, a consultative mindset, and a practical understanding of document review. A legal background, litigation support experience, or prior review management experience would be particularly valuable, as the Consultant will often need to bridge legal strategy, review execution, technology configuration, and client-facing advice.
The successful candidate must be comfortable managing multiple projects concurrently, working independently through ambiguity, collaborating across teams, and occasionally supporting urgent project needs outside standard business hours.
Key Responsibilities
Serve as a subject matter expert on the use of advanced analytics, technology-assisted review, predictive coding, machine learning, and generative AI in eDiscovery and document review workflows.
Consult with clients and internal stakeholders to understand matter objectives, legal and review requirements, data challenges, timelines, and desired outcomes.
Design and recommend defensible workflows using tools such as TAR 1.0, TAR 2.0, active learning, AI-assisted classification, privilege identification, early case assessment, data reduction, and investigative analytics.
Build, manage, validate, and refine analytics and AI models across platforms such as Relativity, Epiq AI, Reveal AI, and other advanced review or analytics platforms.
Develop and refine prompts, instructions, classification criteria, and model guidance for generative AI and LLM-enabled tools, with a focus on consistency, quality, defensibility, and practical review outcomes.
Advise clients and internal teams on appropriate use cases, limitations, risks, defensibility considerations, and quality control measures for AI-enabled review workflows.
Explain statistical concepts, validation methodologies, sampling approaches, model performance, and review metrics to audiences with varying levels of technical, legal, and operational knowledge.
Demonstrate a strong understanding of the full eDiscovery lifecycle, including data assessment, culling, review strategy, privilege workflows, production requirements, regulatory requests, and post-review analysis.
Prepare recommended protocols, workflows, technical responses, reports, findings summaries, and client-ready explanations of proposed approaches and results.
Support privilege-related workflows, including privilege identification, common-name normalisation, privilege log support, and procedural guidance for review teams.
Partner with Client Services, Document Review Services, Operations, Sales, and Technology teams to ensure successful delivery of assigned projects.
Document key project decisions, workflows, assumptions, and lessons learned, and transfer knowledge to review and client service teams to support repeatable and scalable delivery.
Oversee or guide the work of analysts, associate consultants, review managers, or other project resources where appropriate.
Track project successes, risks, lessons learned, and client outcomes, and contribute to internal reporting as required.
Mentor colleagues and help build internal knowledge of analytics, AI, TAR, and advanced review workflows.
Maintain subject matter expertise through continuing education, platform certifications, market awareness, and active engagement with developments in eDiscovery, legal technology, analytics, AI, and generative AI.
Support business development activities where needed, including demonstrations, client presentations, training sessions, pre-sales discussions, and thought leadership.
Required Qualifications and Experience
Bachelor’s degree or equivalent professional experience.
Minimum of 5 years’ client-facing experience in eDiscovery, litigation support, legal technology, document review, investigations, regulatory response, or a related field.
Practical experience with eDiscovery review platforms, including Relativity Server and/or RelativityOne, and general administration of document review databases.
Experience using technology-assisted review, predictive coding, active learning, analytics, machine learning, or generative AI tools in an eDiscovery or legal data context.
Strong understanding of the eDiscovery lifecycle, including data processing, review strategy, review management, quality control, privilege, production, and defensibility considerations.
Ability to translate complex technical, statistical, and workflow concepts into clear, client-ready advice.
Strong written and verbal communication skills, with the ability to engage confidently with legal, technical, operational, and executive stakeholders.
Excellent issue-spotting, problem-solving, critical thinking, and judgement.
Strong time management skills and the ability to manage multiple concurrent matters, priorities, deadlines, and stakeholders.
Proficiency with Microsoft 365, including Excel and other core productivity tools.
Willingness to work flexibly when required by client demands, matter deadlines, productions, regulatory requests, or other urgent project needs.
Preferred Qualifications and Experience
Legal qualification, litigation experience, or equivalent legal training.
Prior experience as a review manager or in a similar role overseeing legal document review workflows.
Advanced degree such as JD/LLB, MBA, MSc, or equivalent industry experience.
Relativity certification such as Relativity Certified Administrator, or equivalent platform certifications.
Familiarity with tools such as Relativity Active Learning, Epiq AI, Reveal AI, or similar analytics and AI-enabled review platforms.
Experience with privilege review workflows, privilege log preparation, common-name normalisation, legal issue coding, responsiveness review, confidentiality review, and quality control processes.
Experience supporting investigations, early case assessment, antitrust / Second Request matters, regulatory responses, litigation reviews, or post-production analysis.
Prompt engineering experience, including developing, testing, and refining prompts or instructions for tools such as Copilot, Claude, Gemini, Harvey, or other LLM-enabled platforms.
Familiarity with Power BI, Python, SQL, data analytics, reporting, or dashboarding.
Experience preparing written reports, findings summaries, workflow documentation, client briefings, or technical protocols.
Interest in legal technology innovation, AI adoption, defensible automation, and the practical application of emerging technologies to legal and review workflows.
Key Skills and Competencies
Client consultation and stakeholder management
eDiscovery and document review workflow design
Technology-assisted review and predictive coding
Generative AI and LLM-enabled review workflows
Analytics model setup, validation, and interpretation
Prompt development and refinement
Privilege review and legal issue analysis
Review management and quality control
Statistical literacy and defensibility
Technical communication and report writing
Cross-functional collaboration
Commercial awareness and solution design
Mentoring, knowledge sharing, and internal enablement
Adaptability, judgement, and practical problem solving
Success Profile
A successful Advanced Technologies Consultant will combine legal and review-domain understanding with strong technical aptitude and client-facing judgement. They will be able to understand the client’s substantive legal or investigative objective, identify the right technology-enabled workflow, explain the approach clearly, and drive delivery through collaboration with review, client service, technology, and sales teams.
They will not simply operate tools; they will advise on how and when those tools should be used, where the risks are, how outputs should be validated, and how advanced technologies can improve quality, efficiency, consistency, and defensibility across the matter lifecycle.
Short Recruitment Summary
The Advanced Technologies Consultant is a client-facing eDiscovery and legal technology role focused on the defensible use of analytics, machine learning, and generative AI across document review, investigations, privilege, early case assessment, and regulatory response workflows. The role requires strong eDiscovery experience, technical aptitude, excellent communication skills, and the ability to translate complex AI and analytics concepts into practical, client-ready advice. Candidates with a legal background, litigation support experience, or review management experience are particularly well suited to the role.
The successful individual must be authorised to work in United Kingdom for any employer and must be a current resident in United Kingdom.
#LI-JM1 #LI-Remote"
Your specific salary will be determined based on several factors
Location-based market rate for the role
Your abilities in relation to the job specification
Performance during screening and interview
Pay parity with the wider team in the considered location
Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.
Click here to learn about Epiq's Benefits.
Epiq Leadership Compass
Fosters Relationships & Collaboration
Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.
Build trust-based partnerships
Nurture long-term relationships
Remove collaboration barriers
Celebrate cross-team success
Engages & Influences
Inspires action and alignment through clear communication, purposeful influence, and a compelling vision.
Use storytelling to build buy-in
Align communication with organizational goals
Guild alignment through strong engagement
Maximizes Performance
Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq’s goals.
Use data to identify improvement opportunities
Make informed decisions
Align team goals with boarder strategy
Empower teams to manage their own goals
Translate vision into clear priorities
Prepare for disruptions with strong change management
Achieves Operational Success
Drives continuous improvement and operational excellence through smart processes, data insights, and quality execution.
Improve workflows for team efficiency
Use clear documentation and expectations
Resolve issues quickly using data and feedback
It is Epiq’s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq’s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.
