eDiscovery Technologist

KLDiscovery; Oregon; Hybrid; USD 68,000 - 85,000; Full time

Benefits offered by this job

Market-competitive compensation

Medical, dental, and vision benefits

Paid time off and 401(k) with company匹

Training and certification support

Weekend schedule differential per KLD

Job summary

KLDiscovery provides technology-enabled services for legal matters worldwide. The EDT practice runs analytics and AI-assisted discovery, including TAR, continuous active learning, and generative AI review, with a focus on defensible, efficient matter workflows.

As an eDiscovery Technologist, you execute TAR/AL workflows, run AI classifiers, pull validation data, and build search outputs under consultant direction. Weekend coverage is required during US business hours.

Qualifications

• 2+ years in eDiscovery, litigation support, or a related technical role.

Responsibilities

• Execute Analytics and AI Workflows per practice playbooks.
• Set up TAR 1.0 and continuous active learning projects in Relativity/RelativityOne/Nebula.
• Run generative AI relevance and privilege classifiers under consultant direction.
• Pull validation samples and compute recall, precision, and elusion estimates.
• Structured analytics and other outputs to specification.
• Maintain matter records, tracking, and time entries.
• Apply AI governance on every matter and escalate as needed.

Skills

Relativity

RelativityOne

TAR

continuous active learning

generative AI review

data analysis

statistics

Education

Bachelor's degree

Relativity Certified Administrator

Relativity Analytics Specialist

CEDS

Python scripting

PowerShell scripting

Tools

Relativity

RelativityOne

Nebula

Relativity aiR

eDiscovery AI

KLD in-house tools

Python

PowerShell

Job description

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 DoingExecute Analytics and AI Workflows

• Set up and run TAR 1.0 and continuous active learning projects in Relativity, RelativityOne, 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 RelativityOne 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, PowerShell) 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 scheduled AI review runs can require flexing hours within the shift, and swaps with teammates are allowed as long as coverage has no gaps.
• Company-provided equipment and tool access. Training on KLD playbooks and in-house tools is provided after hire.

Benefits & Perks

• Talented, collaborative global team that will push and support you.
• Market-competitive compensation and performance bonus. Weekend schedule differential per KLD policy, where applicable.
• Medical, dental, and vision benefits, with company-provided life insurance and short- and long-term disability.
• Paid time off and 401(k) retirement plan with company match.
• Training and certification support, and a defined path from Technologist to Consultant.

Who We Are

KLDiscovery provides technology-enabled services and software to help law firms, corporations, and government agencies solve complex data challenges. We deliver forensic collection and investigation, early case assessment, data processing, hosting and review technology, and managed document review to clients around the world, and our Ontrack business delivers data recovery and data management. At KLD we invest in employees and their families by placing their wellbeing first. We offer competitive total compensation that includes base pay, bonus potential, inclusive benefits, wellness programs, and perks. We use market and industry data to inform pay decisions while considering geography and labor markets, individual experience, and business needs. Individual compensation will vary, although a reasonable estimate of the current annualized base pay range for this position is $68,000 to $85,000. KLDiscovery is an Equal Opportunity Employer, and we do not discriminate on the basis of race, color, religion, ancestry, sex, gender identity, gender expression, sexual orientation, marital or family status, pregnancy, age, veteran status, genetic information, or any other characteristic protected by appliable law. The decisions made during the hiring process are based solely on qualifications, experience, and needs of the business.