Job Description

TCI has an immediate need for an eDiscovery Brainspace Analyst for a full-time job. The role can sit in Miami, Washington D.C., Louisville KY.

They eDiscovery Brainspace Analyst will:

  • Be a trusted advisor to case teams on technology and workflows
  • Leads all projects to be on time, and within budget
  • Deploys analytics and machine learning technologies in complex litigation and investigations and helps disseminate understanding of their uses
  • Assists Advanced Client Data Solutions Team Leads in training other department members on advanced technologies and workflows.

KEY JOB DUTIES TO INCLUDE (but not limited to):

  • Consult with case teams and clients to develop analytics and machine learning strategies and custom workflows, and ensure their successful execution in complex litigation and investigations.
  • Consult with case teams and clients on eDiscovery technology and best practices, including drafting and advising on all aspects of ESI protocols, including machine learning and validation.
  • Lead even the most complex litigation support and advanced technology projects as primary point of contact and manage all activities and workflows.
  • Supervise the execution of projects and project tasks.
  • Act as a technical advisor and conduct advanced training on analytics, machine learning, and review tools for case teams and other firm personnel.
  • Maintain and improve best practices and standard operating procedures in consultation with Advanced Client Data Solutions Team Leads.
  • Develop and execute on strategies for disparate data sources, including structured, unstructured, mobile, and cloud data.
  • Ensure eDiscovery specifications and deliverables conform to case requirements, including with respect to machine learning, validation, processing and production.
  • Establish project milestones, provide status reports, and conduct meetings with service providers and case teams to keep projects on track.
  • Develop cost estimates, advise clients on minimizing costs, and ensure projects are completed on time and within budget.
  • Other duties as assigned.


  • Proficiency with Relativity and Relativity Structured Analytics
  • 3+ years experience with Brainspace and leading live cases with machine learning technology (such as Brainspace, NexLP, and Insight Predict)
  • 3+ years experience leading large eDiscovery projects relying on analytics and machine learning technology
  • 3+ years experience supervising the execution of projects and project tasks by eDiscovery personnel on large eDiscovery projects
  • Certifications with Brainspace and/or RCA, Relativity Analytics
  • Degree in computer science, data analytics, information management,
  • Creating complex workflow development and execution
  • Proficiency with statistical analysis for validation and sampling
  • Superior understanding of eDiscovery best practices, including preservation, collection, culling, processing, review, analysis, validation, and production protocols


Application Instructions

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