Sr. Director, eDiscovery Technology & AI

Overview

This role leads the organization’s eDiscovery Technology practice globally. You will oversee advanced analytics and AI-assisted workflows for client matters, including technology-assisted review, continuous active learning, generative AI classification for relevance and privilege, search and analytics strategy, and custom workflow design for non-standard tools and data.

The practice supports clients across the US, UK, Europe, and Asia Pacific, applying AI-assisted review methodology in a way that is defensible under regional rules and protocols.

Responsibilities

• Lead the eDiscovery Technology practice

  • Lead a team of eDiscovery technologists and consultants designing and operating advanced analytics and AI-assisted workflows for client matters.
  • Include technology-assisted review and continuous active learning, generative AI review for relevance and privilege, search and analytics strategy, and custom workflow design.

• Run the practice as a billable model

  • Own request intake, scoping, staffing, utilization, quality, and turnaround.
  • Manage delivery against a growing demand curve.

• Operate as one global practice

  • Implement one intake process, one standard, and one set of playbooks across the US, EMEA, and APAC.
  • Build follow-the-sun handoffs so matters initiated in London or Hong Kong are picked up cleanly in the US.
  • Partner with regional Operations leaders on staffing, skills, and coverage.

• Grow and develop the team

  • Hire, onboard, and develop a manager, consultants, and technologists as demand expands.
  • Build a career path from technologist to consultant to lead.

• Establish and maintain operating rhythm

  • Define intake standards, capacity forecasting, and coverage plans for second-shift, weekend, and deadline-driven work.
  • Maintain quality standards and playbooks so every matter is delivered to the same standard regardless of staffing.

• Own methodology and defensibility

  • Own how analytics and AI are applied to review, including 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 documentation supporting defensibility.
  • Serve as the senior subject matter expert for clients and counsel on AI-assisted review, including scoping, protocol support, validation design, and explaining results in plain language.
  • Build reusable playbooks, prompt libraries, validation templates, and reporting to institutionalize quality.

• Own AI governance with Legal and InfoSec

  • Ensure consistent application of client data boundaries, client-specific AI restrictions, privilege protections, and audit trail across every tool used by the practice.

• Adapt methodology by jurisdiction without lowering standards

  • Apply 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.

• Co-own consulting offerings with Advisory

  • Partner with Advisory and Sales to define, package, and price AI and analytics consulting offerings, including scope, cost to deliver, and margin.
  • Provide technical authority for pursuits including pre-sales calls, RFP responses, pilots, and client education sessions for US, UK, European, and APAC clients and law firms.
  • Shift the practice from reactive technical support to productized consulting with clear deliverables, pricing, and outcomes.

• Track performance and report results

  • Track offering revenue, attach rate, billable utilization, revenue per consultant per week, and margin, and report into weekly and monthly business reviews.

• Partner with Product and Engineering

  • Serve as the practice’s voice into internal AI review capabilities: requirements, pilot design, operational readiness, adoption, and feedback loop from client matters back to the roadmap.
  • Evaluate and adopt third-party analytics and AI tools through structured comparisons; own vendor relationships and licensing.
  • Work with Process Engineering to encode repeatable workflows into automation and AI skills so team time goes to judgment rather than mechanics.

• Lead clients and cross-functional partners

  • Act as the senior technical voice for Client Success, Sales, and clients across regions on complex matters, escalations, and methodology questions, including cross-border matters spanning multiple jurisdictions.
  • Represent the practice externally with a clear point of view on AI in discovery.

Requirements

• Experience

  • 10+ years in eDiscovery or litigation technology, including:
    • 5+ years applying advanced analytics and AI-assisted review on client matters
    • 3+ years leading a team

• Technical expertise

  • Deep hands-on expertise in TAR 1.0 and 2.0, continuous active learning, and generative AI review, including:
    • prompt design
    • validation statistics
    • defensibility documentation
  • Working command of Relativity and RelativityOne.
  • Experience with generative AI review tools such as Relativity aiR, eDiscovery AI, or equivalent.

• Client-facing experience

  • Demonstrated ability to scope, defend, and explain AI-assisted review to counsel and clients.
  • Experience supporting protocol negotiations and answering hard questions.

• Multi-jurisdiction experience

  • Experience delivering analytics or AI-assisted review for matters outside the US or for non-US clients.
  • Understanding of GDPR, cross-border data transfer constraints, and differences in UK, EU, or APAC disclosure practice versus US discovery.

• Commercial fluency

  • Experience packaging or pricing consulting work and partnering with Sales on pursuits.
  • Ability to explain utilization and margin to a CFO.

• Product partnership experience

  • Experience serving as the operational or practitioner voice on AI feature design, pilots, or adoption.

• Leadership and team development

  • Experience building and developing a technical consulting team, including growing leads into managers and leading people across time zones.

• Communication

  • Direct, clear communication style; ability to explain recall and elusion to both general counsel and junior technologists.

• Environment

  • Experience in PE-backed or high-growth environments where pace and accountability are the norm.

Preferred Qualifications

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

Compensation & Benefits

• Competitive total compensation including base pay, bonus potential, inclusive benefits, wellness programs, and perks.
• Market/industry data is used to inform pay decisions, considering geography and labor markets, individual experience, and business needs.
• Annualized base pay estimate: $156,000 to $195,000 (individual compensation may vary).

Location

Global role supporting work across the US, EMEA, and APAC regions, including client matters in the US, UK, Europe, and Asia Pacific.