Role Description
The Senior Director, eDiscovery Technology leads the eDiscovery Technology practice globally. You will:
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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.
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Run the practice on a billable model: request intake, scoping, staffing, utilization, quality, and turnaround, against a demand curve that is growing fast.
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Run it as one global practice, with one intake, one standard, and one set of playbooks across the US, EMEA, and APAC.
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Grow the practice by hiring, onboarding, and developing a manager, consultants, and technologists as demand expands.
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Build the operating rhythm: intake standards, capacity forecasting, coverage for second-shift, weekend, and deadline-driven work, quality standards, and playbooks.
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Own the methodology and its defensibility, including how KLD applies analytics and AI to review.
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Serve as the senior subject matter expert for clients and counsel on AI-assisted review.
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Build reusable playbooks, prompt libraries, validation templates, and reporting.
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Own AI governance for client matters with Legal and InfoSec.
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Adapt the methodology to the jurisdiction without lowering the standard.
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Co-own the consulting offerings with Advisory.
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Partner with Product and Engineering to serve as the practiceβs voice into KLDβs own AI review capabilities.
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Evaluate and adopt third-party analytics and AI tools.
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Lead clients and cross-functional partners as the senior technical voice for Client Success, Sales, and clients.
Qualifications
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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.
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Deep hands-on expertise in TAR 1.0 and 2.0, continuous active learning, and generative AI review.
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A client-facing record: scoped, defended, and explained AI-assisted review to counsel and clients.
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Multi-jurisdiction experience: delivered analytics or AI-assisted review on matters outside the US.
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Commercial fluency: packaged or priced consulting work and partnered with sales on pursuits.
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Product partnership experience as the operational or practitioner voice on AI feature design.
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A record of building and developing a technical consulting team.
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A direct, clear communication style.
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Experience in PE-backed or high-growth environments.
Requirements
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Legal degree (JD or equivalent); bar admission a plus.
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Structured analytics experience (Brainspace, Reveal, or similar).
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Declaration or testimony experience on review methodology.
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Relativity certifications, CEDS, or equivalent.
Benefits
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Competitive total compensation including base pay, bonus potential, inclusive benefits, wellness programs, and perks.
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Market and industry data used to inform pay decisions.
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Current annualized base pay range for this position is $156,000 to $195,000.
Company Description
KLDiscovery brings clarity, trust, and meaning to data for clients navigating legal matters worldwide.