KLDiscovery Logo

KLDiscovery

Consultant, eDiscovery Technology

Posted 14 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
91K-114K Annually
Senior level
Remote
Hiring Remotely in United States
91K-114K Annually
Senior level
Leads client-facing eDiscovery matters involving TAR, continuous active learning, generative AI review, and structured analytics. Responsibilities include scoping approaches with counsel, designing workflows in Relativity or Nebula, executing and validating results, presenting findings, supporting sales pursuits, developing playbooks, and mentoring technologists. Requires deep eDiscovery expertise, validation statistics knowledge, hands-on AI-assisted review experience, Relativity proficiency, strong communication, and the ability to manage multiple deadline-driven matters.
The summary above was generated by AI

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 a Consultant, eDiscovery Technology, you are the client-facing expert on the team. You scope analytics and AI-assisted review with counsel, design the workflow, lead the matter through execution and validation, and explain the results to the people who have to sign their name to them. You support Advisory and Sales in pursuits, build the playbooks that make the practice repeatable, and mentor the technologists who run the workflows with you. This is applied legal technology consulting. It is not a software engineering role.

What You'll Be Doing

Scope and Lead Matters

  • Consult with clients, counsel, and KLD project managers to understand the matter, the data, the protocol, and the deadline, and recommend the right approach: TAR 1.0, continuous active learning, generative AI relevance or privilege review, structured analytics, or a combination.

  • Lead assigned matters end-to-end: workflow design, set up in Relativity or Nebula, execution with Technologists, validation, and delivery, within SLA.

  • Design and run validation: sampling design, recall and elusion estimates, precision, and the documentation that makes the result defensible.

  • Present findings and validation results to counsel in plain language, and support protocol discussions and, where needed, declarations on methodology.

Generative AI and Analytics Expertise

  • Design and iterate prompts for generative AI relevance and privilege classifiers, measure results, and know when to stop tuning.

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

  • Participate in pilots of KLD's in-house AI review capabilities and bring practitioner feedback back to the practice and to Product.

  • Stay current on TAR, continuous active learning, generative AI review tools, and structured analytics, and hold a clear view on where each is defensible.

Pre-Sales and Client Education

  • Support Advisory and Sales in pursuits: pre-sales calls, demos, RFP responses, and client education sessions on AI-assisted review.

  • Help define and refine the practice's packaged offerings by bringing matter experience into scope, effort, and pricing assumptions.

Playbooks and Mentoring

  • Build and maintain playbooks, validation templates, prompt libraries, and client-facing result summaries so quality lives in the practice.

  • Mentor technologists: pair on matters, review work, and coach toward the consultant track.

  • Record time accurately and keep matter tracking current so utilization and billing are right.

  • 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

  • 5+ years in eDiscovery, with 3+ years hands-on applying advanced analytics and AI-assisted review on client matters.

  • Deep working knowledge of TAR 1.0 and 2.0 and continuous active learning, including validation statistics, and hands-on experience with at least one generative AI review tool (Relativity aiR, eDiscovery AI, or equivalent), including prompt design.

  • Working command of Relativity and RelativityOne. Structured analytics experience (Brainspace, Reveal, or similar) a plus.

  • Client-facing experience: you have scoped analytics work with counsel and explained validation results to a non-technical legal audience.

  • Clear, direct written and verbal communication, and the organization to run several matters at once to deadline.

  • Bachelor's degree or equivalent experience. Relativity certifications (RCA, Analytics Specialist), CEDS, or equivalent a plus. Legal background or JD a plus.

  • Eligible to work in the US.

Work Environment

  • Remote, US-based, working US business hours.

  • Deadline-driven work. Matters run to court and production deadlines, so evenings and occasional weekends are part of the job, shared across the team through a coverage schedule.

  • Occasional travel, up to 10%, for client meetings and industry events.

Benefits & Perks

  • Talented, collaborative global team that will push and support you.

  • Market-competitive compensation and performance bonus.

  • 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, including Relativity and generative AI review tools, and a defined career path inside the practice.

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.

KLDiscovery is an Equal Opportunity Employer. Job descriptions are not intended to be all-inclusive lists of responsibilities, requirements, or working conditions. Management reserves the right to modify, add, or remove duties as business needs require.

 

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 $91,000 to $114,000.

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.

Similar Jobs

42 Minutes Ago
In-Office or Remote
CA, USA
139K-245K Annually
Senior level
139K-245K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses.
Top Skills: Ai Coding AgentsCi/CdGitLlm-Based Classification ToolingMetrics StorePythonReactSnowflakeSQLTypescript
42 Minutes Ago
In-Office or Remote
129K-233K Annually
Mid level
129K-233K Annually
Mid level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Conduct field-based, full-cycle sales across a designated territory, including prospecting, business visits, product demonstrations, consultative selling, deal closing, partnerships, referrals, onboarding coordination, pipeline management, forecasting, and quota attainment. The role focuses on restaurants, retailers, and service businesses while promoting Square’s integrated commerce software, hardware, and financial solutions.
Top Skills: Payment Processing TechnologySalesforce
Internship
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Graduate research interns will own end-to-end projects to build customer world models and proactive intelligence: developing representation learning, foundation model, RL/agentic methods, evaluation frameworks, and shipping research into production to improve customer decision-making.
Top Skills: Deep LearningFoundation ModelsJaxOptimizationPythonPyTorchRepresentation Learning

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account