National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Ediscovery jobs -e-Discovery PM, Senior PM, Directors

London
3 weeks ago
Create job alert

e-Discovery Project Manager & Senior Project Managers and higher
Location: London (2-3 days WFH with a couple 100% WFH)

Note: I have a number of eDiscovery roles in London at various levels through the EDRM e.g. eDiscovery Data Processing /junior PM, eDiscovery PM's, Senior eDiscovery PM's and Director level roles bith with Consultancies and Law firms.

Salary: circa £55 up to £100K+

Junior roles tend to be more hands on technical.

Senior positions manage multiple eDiscovery projects and some will have team management. Some are full EDRM many from processing to production.

ROLE:

Providing professional consulting services to law firms and corporate clients. This is an ideal opportunity for someone who ideally has or is looking to gain commercial eDiscovery experience:

TASKS:

  • Liaise with clients and project managers regarding client requests and manage projects.

  • Utilise industry standard and bespoke software (can be any platform e.g. Relativity, Everlaw etc).

  • Manage team workloads; apply analytical skills and utilise existing methodologies to client situations

  • Create customised solutions to meet client needs

  • Be client oriented to meet client deadlines

  • Travel as required to ensure effective management of case activities

  • Responsible for day to day activities of projects including interaction with other consultants, and client personnel, managing stakeholders

    BASIC QUALIFICATIONS:

  • Solid electronic discovery experience (can be from a vendor/consultancy or Law Firm)

  • Experience with eDiscovery platforms e.g. Relativity or similar

  • 2:1 degree or higher (not essential)

  • Motivated, self-starter; demonstrate an ability to solve complex problems and create innovative solutions

  • Provide excellent client service in deadline-driven situations

  • Ability to work independently in a fast-paced, multi-tasking role.

  • Ability to work effectively as part of a

  • Good communicator who can perform in a client facing role

    IDEAL SKILLS:

  • Knowledge of eDiscovery review platforms; databases or similar applications can be any of Relativity, Recommind, Nuix, Everlaw, Introspect, Summation, Axcelerate

  • Knowledge of SQL database queries and scripting is useful (not usually essential)

  • Strong proficiency with Windows and related software

  • Outstanding client service in demanding, deadline-driven situations

  • Successful management/supervision of others for leader roles

  • Ability to travel when requested (not usual with law firm roles)

  • About Brimstone Consulting: We specialise in finding highly qualified staff in the following areas: E-Discovery and Digital Forensics; Payments; Fraud - (AML/CTF, Investigation, CFE’s etc.); Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.); Compliance/Corporate Governance; IT - (full SDLC- BA’s PM’s , Architects, Developers etc.); Big Data and Data Analytics - (MI/BI/CI); InfoSec and Cyber Crime; Audit; Accountancy and Finance

  • Brimstone Consulting acts as an employment agency (permanent) and as an employment business (temporary) - a free and confidential service to candidates. Brimstone Consulting is an equal opportunities employer and our policies are available upon request. Due to time constraints we can only reply to applicants that match our clients’ specifications above.

  • Our Data Protection number: ZA(phone number removed)

    Keywords: eDiscovery, e-Discovery, "e Discovery", EDRM, Legal Review, Relativity, Recommind, Introspect, Ringtail, Project Management, Electronic discovery reference model, Digital Forensics

Related Jobs

View all jobs

Consultant Psychiatrist

eDiscovery Manager

e-Discovery Manager

Senior Data Scientist (GenAI)

Senior Data Scientist GenAI

Senior UX Researcher, Quantitative Analysis

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.