eDiscovery Technologist

KLDiscovery•United States,

2d•$68,000 - $85,000•Remote

About The Position

KLDiscovery’s eDiscovery Technology practice applies advanced analytics and AI to legal discovery, including technology-assisted review, continuous active learning, generative AI review, and custom workflows. The eDiscovery Technologist executes analytics and AI-assisted workflows designed by consultants, supporting matters through project setup, model and classifier runs, validation, analytics outputs, and complete matter documentation. The role works closely with consultants and project managers and provides a development path toward a consultant position. This role provides dedicated weekend coverage on Saturday and Sunday during US business hours, following a Wednesday-to-Sunday schedule with Monday and Tuesday off. It is remote and US-based. Work is deadline-driven and may require flexing hours within the shift; shift swaps are permitted when coverage remains uninterrupted. Company-provided equipment and access to tools are supplied, and training on KLD playbooks and in-house tools is provided after hire.

Requirements

At least 2 years of experience in eDiscovery, litigation support, or a related technical role.
Hands-on experience with Relativity or RelativityOne.
Comfort working with data, spreadsheets, and basic statistics, including following validation templates and identifying questionable results.
Attention to detail and a habit of complete documentation and accurate time entry.
Clear written communication for project notes, handoffs, and status updates; willingness to ask questions and escalate early.
Ability to work independently on a defined playbook once certified.
Ability to reliably work a Wednesday-to-Sunday schedule during US business hours.
Bachelor’s degree or equivalent experience.
Eligible to work in the United States.

Nice To Haves

Exposure to TAR, continuous active learning, or generative AI review.
Relativity Certified Administrator, Relativity Analytics Specialist, or CEDS certification.
Basic scripting skills in Python or PowerShell.

Responsibilities

Set up and run TAR 1.0 and continuous active learning projects in Relativity, RelativityOne, and Nebula, including project configuration, training rounds, monitoring, and cutoff support.
Run generative AI relevance and privilege classifiers under consultant direction, including prompt execution, batch management, results tracking, and iteration support.
Pull validation samples, calculate recall, precision, and elusion estimates using templates, and prepare validation documentation for consultant review.
Produce structured analytics outputs, including clustering, email threading, near-duplicate analysis, and concept analysis, according to specifications.
Work assigned projects from the EDT request queue within SLA, prioritizing quality-control requests over new projects of the same tier.
Keep matter records, tracking, and time entry accurate and current.
Apply AI governance requirements on every matter, including client data boundaries, client-specific AI restrictions, privilege protections, and audit trails.
Escalate client-facing, legally sensitive, or out-of-playbook issues to the assigned consultant or Manager.
Cover the practice on Saturdays and Sundays during US business hours by monitoring request and escalation channels, actioning priority projects, and keeping scheduled TAR and AI review work moving toward Monday deadlines.
Provide clear end-of-shift handoff notes for consultants and project managers.
Coordinate with the on-call consultant or Manager when work requires a methodology or client decision.
Complete structured training and certification milestones on practice playbooks and tools.
Participate in internal training and demo sessions and contribute to the knowledge base.
Develop toward the consultant track by shadowing client calls, taking on supervised scoping, and building toward leading matters.
Demonstrate the company’s values: Client is Always in the Room, Own the Outcome, Better Every Day, and Deliver Results Together.