Job Description

Help our team provide services and solutions across the eDiscovery lifecycle to leading global law firms and corporate in-house counsels.

Programme overview

Our team operates at the cutting edge of investigations, litigation, and some of the highest-profile regulatory matters - often with civil and criminal implications, data privacy challenges, and post-cyber incident reviews.



We support clients through time-sensitive, cross-border matters that require adaptability and a proactive approach, offering a dynamic environment where no two days are the same.



We analyse unstructured, semi-structured, and structured data using a wide variety of leading and emerging technologies, including Generative AI, Agentic AI, and advanced analytics. EY is committed to being a disruptive force in a market historically reliant on human-intensive processes, especially in document review. We embrace the possibilities of LLMs and automation to transform how eDiscovery is delivered, creating valuable careers for professionals who become trusted advisors on process orchestration, automation, and the optimal use of technology and human expertise.

What you will be doing

Working in Financial Services (FS) with some of the most high-profile firms and their outside counsels, supporting litigation, regulatory investigations, and matters with civil and criminal implications, as well as data privacy and post-cyber incident reviews.
Embracing disruptive technologies such as LLMs and Agentic AI to enhance automation and process orchestration, moving beyond traditional human-intensive approaches.
Helping to collect, process, analyse and disclose key data in investigations and litigation, including the creation of visualisations and timelines to help establish fact patterns.
Navigating time-sensitive, cross-border matters that require flexibility and the ability to work across time zones and jurisdictions.
Collaborating with document review professionals, legal counsel, and other teams, while managing relationships with diverse stakeholders - including balancing the needs of outside counsel with client playbooks.
Solving client issues using a wide range of technology, analytical techniques, machine learning, and automation, with a focus on understanding data, source systems, and data flows to build defensible positions.
Developing expertise in the Forensics domain (Anti Money Laundering, Counter Terrorism Financing, Sanctions, Fraud, Anti Bribery and Corruption, etc.).
Building knowledge of the legal and regulatory frameworks that drive eDiscovery matters, and demonstrating an interest in the processes that underpin our work.


Key programme facts

Programme length
Three years
Professional qualification
Digital forensics, data collection tools, data visualisations and more
Salary
Competitive
Start date
September 2026