kernlith
KLDiscovery
Sr. Director, eDiscovery Technology & AI
Remote · Full-time · United States
- Compensation
- $156,000 – $195,000
- Category
- LLM applications
- Employment
- Full-time
- Workplace
- Remote
Technologies
- Software
About the role
- 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. This practice answers them everywhere KLD operates.
- 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. Individual compensation will vary, although a reasonable estimate of the current annualized base pay range for this position is $156,000 to $195,000.
- What you will do
- 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.
- Grow the practice. Hire, onboard, and develop a manager, consultants, and technologists as demand expands, and build a career path from technologist to consultant to lead.
- 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 the methodology and its defensibility
- 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.
- Adapt the methodology to the jurisdiction without lowering the standard: 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 playb