Remote AI-Driven eDiscovery Technologist

KLDiscovery, Inc.

United States

Remote

USD 68,000 - 85,000

Full time

44 hours ago
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Benefits offered by this job

Global team support
Performance bonus
Medical, dental, and vision benefits
401(k) retirement plan with company-m
Training and certification support

Job summary

KLDiscovery, Inc. is hiring an eDiscovery Technologist to run TAR, continuous active learning, and AI-assisted workflows across Relativity and Nebula platforms.

You will work with consultants and project managers, maintain matter records, and support weekend coverage during US business hours with structured handoffs. You should have 2+ years in eDiscovery, familiarity with Relativity/RelativityOne, basic scripting, and strong attention to detail.

Qualifications

  • 2+ years in eDiscovery, litigation support, or related technical role.
  • Hands-on Relativity or RelativityOne experience; TAR/active learning or generative AI review a plus.
  • Bachelor's degree or equivalent experience; scripting basics a plus.

Responsibilities

  • Execute TAR and continuous active learning projects per playbooks.
  • Run generative AI relevance and privilege classifiers with consultant direction.
  • Pull validation samples and compute recall/precision; prepare validation docs.
  • Maintain matter records, tracking, and time entry accurately for billing.

Skills

eDiscovery
Relativity
RelativityOne
Nebula
Scripting (Python)
Data analysis
Attention to detail

Education

Bachelor's degree or equivalent experience
Relativity Certified Administrator
Relativity Analytics Specialist
CEDS

Tools

Relativity
RelativityOne
Nebula
KLD in-house tools

Job description

KLDiscovery, Inc. is hiring an eDiscovery Technologist to run TAR, continuous active learning, and AI-assisted workflows across Relativity and Nebula platforms.

You will work with consultants and project managers, maintain matter records, and support weekend coverage during US business hours with structured handoffs. You should have 2+ years in eDiscovery, familiarity with Relativity/RelativityOne, basic scripting, and strong attention to detail.

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