eDiscovery Graduate Programme

Programme overview

Our team analyses unstructured, semi-structured and structured data using a wide variety of leading and emerging technologies. This includes Generative AI for investigations and litigation into price fixing, misappropriation of funds, employee misconduct, financial crime and much more. The eDiscovery lifecycle covers data collection, processing, analysis, review, and disclosure. We often work on terabytes of data representing tens of millions of documents, chat messages, and data points.

What you will be doing

• Working in our Financial Services (FS) with some of the most high-profile financial services firms and their outside counsels.
• 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.
• Managing and collaborating with document review professionals, legal counsel and other teams supporting our clients.
• Solving client issues using a wide range of technology, analytical techniques, machine learning and automation.
• Adding defensibility to the legal and investigative process.
• Becoming familiar with the Forensics domain (Anti Money Laundering, Counter Terrorism Financing, Sanctions, Fraud, Anti Bribery and Corruption, etc.).

Requirements

We operate an open access policy, meaning we don’t screen out applications on your academic performance alone. You will, however, need to be working towards an honours degree in any subject (STEM also welcome), have a minimum of grade 4/C GCSE (or equivalent) in English Language and Maths, or in your home language if you do not hold English Language GCSE, and three A-levels/Five Highers (or equivalent) to be eligible to apply.