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EDiscovery Technologist

Job in Bloomington, Hennepin County, Minnesota, USA
Listing for: KLDiscovery, Inc.
Full Time position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    Data Analyst, AI Business & Operations, IT Consultant
Salary/Wage Range or Industry Benchmark: 68000 - 85000 USD Yearly USD 68000.00 85000.00 YEAR
Job Description & How to Apply Below

KLDiscovery brings clarity, trust, and meaning to data for clients navigating legal matters worldwide. Our eDiscovery Technology (EDT) practice is where clients meet advanced analytics and AI in discovery: technology-assisted review and continuous active learning, generative AI review for relevance and privilege, search and analytics strategy, and the custom workflows that turn a hard matter into a defensible, efficient one. Demand for this work is growing fast, and the practice is growing with it.

As an eDiscovery Technologist, you run the analytics and AI-assisted workflows that our consultants design: setting up and executing TAR and continuous active learning, running generative AI classifiers, pulling validation samples and statistics, building search and analytics outputs, and keeping the matter record complete. You work closely with consultants and project managers, learn the methodology from the inside, and grow toward the consultant track.

This opening carries the practice's weekend coverage schedule, so deadline-driven review technology work has a dedicated owner when clients need it most.

What You'll Be Doing
Execute Analytics and AI Workflows
  • Set up and run TAR 1.0 and continuous active learning projects in Relativity, Relativity One, and Nebula per the practice playbooks: project configuration, training rounds, monitoring, and cutoff support.

  • Run generative AI relevance and privilege classifiers (Relativity aiR, eDiscovery AI, KLD in-house tools) under consultant direction: prompt execution, batch management, results tracking, and iteration support.

  • Pull validation samples, compute recall, precision, and elusion estimates from the templates, and prepare the validation documentation for consultant review.

  • Structured analytics (clustering, email threading, near-duplicate, concept analysis), and other analytics outputs to specification.

Matter Support and Quality
  • Work assigned projects from the EDT request queue within SLA, with quality control requests taking priority over new projects of the same tier.

  • Keep matter records, tracking, and time entry accurate and current so utilization and billing are right the first time.

  • Apply the AI governance posture on every matter: client data boundaries, client-specific AI restrictions, privilege protections, and audit trail.

  • Escalate anything client-facing, legally sensitive, or outside a defined playbook to the assigned consultant or the Manager.

Weekend Coverage
  • Serve as the practice's dedicated coverage on Saturday and Sunday during US business hours: monitor the request queue and escalation channels, action priority projects, and keep scheduled TAR and AI review work moving toward Monday deadlines.

  • Provide clear handoff notes at the end of each shift so consultants and project managers pick up without gaps.

  • Coordinate with the on-call consultant or Manager for anything that needs a methodology or client decision.

Learning and Growth
  • Complete structured training and certification milestones on the practice playbooks and tools.

  • Participate in internal training and demo sessions, and contribute to the knowledge base as you learn.

  • Grow toward the consultant track: shadow client calls, take on scoping under supervision, and build toward leading matters.

  • Lead with the four values. Client is Always in the Room. Own the Outcome. Better Every Day. Deliver Results Together.

What You Should Already Have
  • 2+ years in eDiscovery, litigation support, or a related technical role, with hands-on Relativity or Relativity One experience. Exposure to TAR, continuous active learning, or generative AI review a plus.

  • Comfort with data, spreadsheets, and basic statistics. You can follow a validation template and spot when a number looks wrong.

  • Attention to detail and a habit of complete documentation and accurate time entry.

  • Clear written communication for project notes, handoffs, and status updates. Comfortable asking questions and escalating early.

  • Ability to work independently on a defined playbook once certified, and to hold a Wednesday to Sunday schedule reliably.

  • Bachelor's degree or equivalent experience. Relativity Certified Administrator, Relativity Analytics Specialist, or CEDS a plus. Basic scripting (Python, Power Shell) a plus.

  • Eligible to work in the US.

Work Environment
  • Remote, US-based. This opening works a Wednesday to Sunday schedule during US business hours, with Monday and Tuesday off. Weekend hours are the core of the role, not an exception to it.

  • Deadline-driven work. Priority projects and…

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