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Analyst

Consilio LLC
London, GBR
Full-time
Mid-Senior
Onsite
Discovered 2 weeks ago
eDiscoveryData ingestion and processingStructured and unstructured dataAI/ML toolsTechnology-assisted review (TAR)Continuous active learning (CAL)

Full Job Posting

Role overview

Technically focused, hands-on role supporting eDiscovery matters under Consultants and Senior Consultants.

Work spans data processing, reporting, documentation, and platform configuration, with exposure to client work and cross-functional collaboration.

The role offers experience with emerging AI and machine-learning technologies across the EDRM lifecycle.

Hybrid role based in the London office.

Responsibilities

  • Support consultants with eDiscovery task execution, documentation, and client communications.
  • Assist with data ingestion and processing of structured and unstructured data.
  • Help configure and test AI/ML tools such as TAR, CAL, and predictive coding.
  • Prepare client data summaries, workflow diagrams, and platform guides.
  • Set up workspaces, permissions, users, and review panels.
  • Troubleshoot and document technical issues and resolutions.
  • Maintain knowledge-base content, training materials, and project trackers.
  • Coordinate workflows for data collection, processing, review, analytics, and production or export.
  • Contribute to quality assurance and flag inconsistencies or risks.
  • Maintain project notes, documentation, and communications.

Qualifications

  • BA/BSc degree at 2:1 or higher, or at least three years of litigation-support or legal-industry experience.
  • Proactive problem-solving, teamwork, communication, client-management, and interpersonal skills.
  • Strong attention to detail and commitment to quality and accuracy.
  • Ability and willingness to undergo security clearance.

Tools and development

  • Awareness of industry-standard software such as Relativity or Nuix is desirable; full training is provided.
  • The role includes training in tools such as Relativity, Nuix, and Reveal and exposure to AI and machine-learning applications.

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