# Advanced Technologies Consultant

**Company**: Epiq
**Experience**: senior
**Job type**: full-time
**Category**: Legal
**Industry**: Consulting

**Apply**: https://epiqsystems.wd503.myworkdayjobs.com/en-US/Epiq_Careers/job/GBR-London-110-Bishopsgate/Advanced-Technologies-Consultant_R0034946?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8b537267-4dd

## Description

At Epiq, your work contributes to complex, global legal outcomes. You'll join a values-driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together.

The Advanced Technologies Consultant supports clients in the effective, defensible, and commercially practical use of analytics, machine learning, and generative AI across eDiscovery, document review, investigations, early case assessment, privilege review, regulatory response, and related legal data workflows.

**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.

**Benefits:** 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.

**Salary:** 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

## Skills

### Required
- eDiscovery
- litigation support
- legal technology
- document review
- investigations
- regulatory response
- analytics
- machine learning
- generative AI
- Relativity
- Epiq AI
- Reveal AI

### Nice to have
- legal qualification
- litigation experience
- review management experience
- Relativity certification
- familiarity with tools such as Relativity Active Learning, Epiq AI, Reveal AI
- experience with privilege review workflows
- experience supporting investigations
- prompt engineering experience

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