Sr. Director, eDiscovery Technology & AI

KLDiscovery•United States,

7d•$156,000 - $195,000

About The Position

KLDiscovery is hiring a Senior Director to lead its global eDiscovery Technology practice, which applies advanced analytics and AI to legal discovery matters. The role leads technologists and consultants across regions, directs the methodology and defensibility of AI-assisted workflows, partners with Advisory on consulting offerings, and represents the practice in collaboration with Product and Engineering. This is applied legal technology leadership rather than a software engineering role; a legal background is preferred. The Senior Director is responsible for the practice’s delivery, growth, operating model, quality, and commercial performance across the US, EMEA, and APAC. The role owns approaches to technology-assisted review, continuous active learning, generative AI review, search and analytics, validation, documentation, governance, and jurisdiction-specific requirements. It also supports client pursuits and education, evaluates third-party tools, and ensures that client-matter feedback informs the company’s AI product roadmap. The position is offered with competitive total compensation, including base pay, bonus potential, inclusive benefits, wellness programs, and perks. The stated estimated annualized base pay range is $156,000 to $195,000; individual compensation varies based on factors including geography, experience, and business needs.

Requirements

10 or more years of experience in eDiscovery or litigation technology.
At least 5 years applying advanced analytics and AI-assisted review on client matters.
At least 3 years leading a team.
Deep hands-on expertise in TAR 1.0 and 2.0, continuous active learning, and generative AI review, including Relativity aiR, eDiscovery AI, or equivalent.
Expertise in prompt design, validation statistics, and defensibility documentation.
Working command of Relativity and RelativityOne.
Client-facing experience scoping, defending, and explaining AI-assisted review to counsel and clients, supporting protocol negotiations, and addressing challenging questions.
Experience delivering analytics or AI-assisted review on matters outside the US or for non-US clients.
Understanding of GDPR, cross-border data transfer constraints, and differences between US discovery and disclosure practice in the UK, EU, or APAC.
Experience packaging or pricing consulting work and partnering with sales on pursuits; ability to explain utilization and margin to a CFO.
Product partnership experience as an operational or practitioner voice in AI feature design, pilots, or adoption.
Experience building and developing a technical consulting team, developing leads into managers, and leading people across time zones.
Direct, clear communication skills, including the ability to explain technical review concepts to both general counsel and junior technologists.
Experience in PE-backed or high-growth environments where pace and accountability are the norm.

Nice To Haves

Legal degree (JD or equivalent); bar admission is a plus.
Structured analytics experience with Brainspace, Reveal, or similar.
Declaration or testimony experience on review methodology.
Relativity certifications, CEDS, or equivalent.

Responsibilities

Lead a global team of eDiscovery technologists and consultants delivering advanced analytics and AI-assisted workflows on client matters.
Manage practice intake, scoping, staffing, utilization, quality, and turnaround in a billable model.
Establish consistent global standards, playbooks, and follow-the-sun handoffs across the US, EMEA, and APAC; coordinate staffing, skills, and coverage with regional Operations leaders.
Grow the practice by hiring, onboarding, and developing managers, consultants, and technologists, and establishing career paths.
Build the practice’s operating rhythm, including intake standards, capacity forecasting, coverage for second-shift, weekend, and deadline-driven work, and quality standards.
Own methodology for analytics and AI-assisted review, including TAR 1.0 and 2.0, continuous active learning, generative AI classifiers, prompt design, validation statistics, and defensibility documentation.
Advise clients and counsel on AI-assisted review, including scoping, protocol support, validation design, and explaining results.
Create reusable playbooks, prompt libraries, validation templates, and reporting.
Own AI governance for client matters in partnership with Legal and InfoSec, including data boundaries, client-specific restrictions, privilege protections, and audit trails.
Adapt methodologies to requirements and practices across the US, UK, EU, and APAC, including data protection, cross-border transfers, and data residency limits.
Partner with Advisory and Sales to define, package, scope, and price AI and analytics consulting offerings, including delivery costs and margins.
Provide technical leadership in regional pursuits, pre-sales calls, RFP responses, pilots, and client education sessions.
Develop productized consulting with clear deliverables, pricing, and outcomes.
Track offering revenue, attach rate, billable utilization, revenue per consultant per week, and margin, and report these metrics in business reviews.
Represent the practice in development of KLD’s AI review capabilities by providing requirements, designing pilots, supporting operational readiness and adoption, and sharing client feedback with the roadmap.
Evaluate third-party analytics and AI tools, conduct structured comparisons, and manage vendor relationships and licensing.
Work with Process Engineering to encode repeatable workflows into automation and AI skills.
Serve as a senior technical resource for Client Success, Sales, and clients on complex matters, escalations, and methodology questions, including cross-border matters.
Represent the practice externally through thought leadership and industry presence on AI in discovery.
Lead in accordance with KLD’s stated values.