eDiscovery Intern: Data, Law & Analytics (Hybrid)

CMETS CME Technology and Support Services Ltd.

Belfast City District

Hybrid

GBP 13,000 - 17,000

Part time

3 days ago
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Benefits offered by this job

Hybrid Working
Private Medical
Dental coverage
Group Pension Plan
Income Protection
Life Assurance
Gym Membership
Mental Health Benefit Programme

Job summary

CME Group in Belfast is seeking an eDiscovery Intern to support the Director and Analysts across data identification, preservation, and collection. You will learn eDiscovery best practices and the litigation lifecycle while gaining exposure to the scale of electronically stored information in a modern enterprise.

You will assist with workflows, organize materials, and contribute to data analytics and filtering methods.

Qualifications

  • Imminent or current degree in IT, CS, Law, or Business.
  • Year in industry 2026-7 required.
  • Interest in eDiscovery processes and information governance.

Responsibilities

  • Assist with setting up data preservation and data collection workflows.
  • Organize collected materials with custodians and matters.
  • Review and update Legal Hold Record Inventory with RIM team.
  • Provide preliminary analysis of large datasets using standard filtering (deduplication).
  • Assist in testing new data analytics and filtering methods for eDiscovery tools.
  • Apply data filtering techniques to organize and process ESI efficiently.
  • Maintain and update internal playbooks for tools and workflows.

Skills

Legal processes
eDiscovery principles
Data analysis
Google Workspace
Microsoft Office

Education

Pursuing degree in IT/CS/Legal/Business

Tools

Google Workspace
Microsoft Office

Job description

CME Group in Belfast is seeking an eDiscovery Intern to support the Director and Analysts across data identification, preservation, and collection. You will learn eDiscovery best practices and the litigation lifecycle while gaining exposure to the scale of electronically stored information in a modern enterprise.

You will assist with workflows, organize materials, and contribute to data analytics and filtering methods.

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