Consultant, eDiscovery Technology

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.

• 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.

• 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.

• 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.

• 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.

• 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 Relativity One. Structured analytics experience (Brainspace, Reveal, or similar) a plus.
• Client-facing experience: you have scoped analytics work with counsel and explained…