Sr. Director, eDiscovery Technology & AI

KLDiscovery · Remote, United States

KLDiscovery brings clarity, trust, and meaning to data for clients navigating legal matters worldwide. The eDiscovery Technology practice is where those clients meet advanced analytics and AI: technology-assisted review, generative AI classification for relevance and privilege, search and analytics strategy, and the non-standard workflows that turn a hard matter into a defensible, efficient one. Clients across the US, UK, Europe, and Asia Pacific are asking how to use AI in discovery and how to defend it, each under their own rules. The Senior Director, eDiscovery Technology leads that practice globally. You will lead a team of technologists and consultants across time zones, own the methodology and defensibility of every AI-assisted workflow we deliver, partner with Advisory to package and price the consulting offerings they sell, and sit at the table with Product and Engineering as we build AI review into our own platform. This is applied legal technology leadership rather than a software engineering role, and a legal background is preferred.
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. Lead the eDiscovery Technology practice
Lead a team of eDiscovery technologists and consultants who design and run advanced analytics and AI-assisted workflows on client matters, including technology-assisted review and continuous active learning, generative AI review for relevance and privilege, search and analytics strategy, and custom workflow design for non-standard tools and data.
Run the practice on a billable model: request intake, scoping, staffing, utilization, quality, and turnaround, against a demand curve that is growing fast.
Run it as one global practice, with one intake, one standard, and one set of playbooks across the US, EMEA, and APAC. Build follow-the-sun handoffs so a matter started in London or Hong Kong is picked up cleanly in the US, and partner with regional Operations leaders on staffing, skills, and coverage.
Build the operating rhythm: intake standards, capacity forecasting, coverage for second-shift, weekend, and deadline-driven work, quality standards, and playbooks so every matter gets the same standard regardless of who staffs it.
Own how KLD applies analytics and AI to review: TAR 1.0 and 2.0, continuous active learning, generative AI classifiers for relevance and privilege, prompt design and iteration, validation statistics (recall, precision, elusion), and the documentation that makes the result defensible.
Serve as the senior subject matter expert for clients and counsel on AI-assisted review: scoping, protocol support, validation design, and explaining results in plain language to lawyers who have to sign their name to them.
Build reusable playbooks, prompt libraries, validation templates, and reporting so quality lives in the practice rather than in any one person.
Own AI governance for client matters with Legal and InfoSec: client data boundaries, client-specific AI restrictions, privilege protections, and audit trail, applied consistently across every tool the practice uses.
US TAR and GenAI case law and protocols, UK disclosure practice, GDPR and UK data protection, cross-border transfer and data residency limits, and APAC requirements, so the same playbook is defensible in every region where we run it.
Partner with Advisory and Sales to define, package, and price the AI and analytics consulting offerings they sell: what we offer, how it is scoped, what it costs to deliver, and what margin it carries.
Serve as the practice’s voice into KLD’s own AI review capabilities: requirements, pilot design, operational readiness, adoption, and the feedback loop from client matters back to the roadmap.
Evaluate and adopt third-party analytics and AI tools, run structured comparisons, and own the practice’s vendor relationships and licensing.
Work with Process Engineering to encode repeatable workflows into automation and AI skills so the team’s time goes to judgment rather than mechanics.
Represent the practice externally with a clear point of view on AI in discovery, thought leadership, and industry presence.
10+ years in eDiscovery or litigation technology, including 5+ years applying advanced analytics and AI-assisted review on client matters and 3+ years leading a team.
~ Deep hands-on expertise in TAR 1.0 and 2.0, continuous active learning, and generative AI review (Relativity aiR, eDiscovery AI, or equivalent), including prompt design, validation statistics, and defensibility documentation. A client-facing record: you have scoped, defended, and explained AI-assisted review to counsel and clients, supported protocol negotiations, and handled the hard questions.
~ Multi-jurisdiction experience: you have delivered analytics or AI-assisted review on matters outside the US or for non-US clients, and you understand GDPR, cross-border data transfer constraints, and how disclosure practice in the UK, EU, or APAC differs from US discovery.
~ Commercial fluency: you have packaged or priced consulting work, partnered with sales on pursuits, and can explain utilization and margin to a CFO.
~ Product partnership experience as the operational or practitioner voice on AI feature design, pilots, or adoption.
~ A record of building and developing a technical consulting team, including growing leads into managers and leading people across time zones.
~ Legal degree (JD or equivalent); Structured analytics experience (Brainspace, Reveal, or similar).
We bring clarity, trust, and meaning to data for clients navigating legal matters worldwide.
We embrace curiosity, question assumptions, and raise the bar constantly.
Our culture shapes our actions, our products, and the relationships we forge with our customers.