Sr. Director, eDiscovery Technology & AI

Overview

This role leads the eDiscovery Technology practice globally, applying advanced analytics and AI to technology-assisted review workflows for clients navigating legal matters worldwide. The position focuses on methodology and defensibility of AI-assisted review, operational leadership across multiple regions, and partnership with Advisory, Product, and Engineering to build and improve offerings and platform capabilities.

Responsibilities

Lead the eDiscovery Technology practice

• Lead a team of eDiscovery technologists and consultants who design and run advanced analytics and AI-assisted workflows, including:
  • Technology-assisted review and continuous active learning
  • Generative AI review for relevance and privilege
  • Search and analytics strategy
  • Custom workflow design for non-standard tools and data
• Operate the practice on a billable model, owning request intake, scoping, staffing, utilization, quality, and turnaround against a fast-growing demand curve.
• Run the practice as one global unit with one intake, one standard, and one set of playbooks across the US, EMEA, and APAC.
  • Build follow-the-sun handoffs so work started in London or Hong Kong is picked up cleanly in the US
  • Partner with regional Operations leaders on staffing, skills, and coverage
• Grow the practice by hiring, onboarding, and developing managers, consultants, and technologists as demand expands.
• Build and maintain operating rhythm and standards, including:
  • Intake standards
  • Capacity forecasting
  • Coverage for second-shift, weekend, and deadline-driven work
  • Quality standards and playbooks to ensure consistent results regardless of who staffs a matter

Own the methodology and its 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)
  • Defensible documentation
• Serve as a senior subject matter expert for clients and counsel, providing:
  • Scoping and protocol support
  • Validation design
  • Plain-language explanations of results for legal teams
• Build reusable playbooks, prompt libraries, validation templates, and reporting to embed quality across the practice.
• Own AI governance for client matters with Legal and InfoSec, including:
  • Client data boundaries
  • Client-specific AI restrictions
  • Privilege protections
  • Audit trail
  • Consistent application across tools used by the practice
• Adapt methodology to jurisdictional requirements while maintaining standards, including region-specific guidance such as:
  • US TAR and GenAI case law and protocols
  • UK disclosure practice
  • GDPR and UK data protection
  • Cross-border transfer and data residency limits
  • APAC requirements

Co-own consulting offerings with Advisory

• Partner with Advisory and Sales to define, package, and price AI and analytics consulting offerings, including:
  • What is offered
  • How work is scoped
  • What it costs to deliver
  • Margin
• Provide technical authority for regional pursuits led by Advisory, including:
  • Pre-sales calls
  • RFP responses
  • Pilots
  • Client education sessions for US, UK, European, and APAC clients and law firms
• Transition the practice from reactive technical support to productized consulting with clear deliverables, pricing, and outcomes.
• Track and report offering revenue and operational metrics (including attach rate, billable utilization, revenue per consultant per week, and margin) in weekly and monthly business reviews.

Partner with Product and Engineering

• Act as the practice’s voice into internal AI review capabilities, including:
  • Requirements
  • Pilot design
  • Operational readiness
  • Adoption
  • Feedback from client matters to inform the roadmap
• Evaluate and adopt third-party analytics and AI tools, including structured comparisons.
• Own vendor relationships and licensing for the practice.
• Partner with Process Engineering to encode repeatable workflows into automation and AI skills so the team’s time focuses on judgment rather than mechanics.

Lead clients and cross-functional partners

• Serve as the senior technical voice for Client Success, Sales, and clients across regions on complex matters, including escalations and methodology questions for matters spanning more than one jurisdiction.
• Represent the practice externally with a clear point of view on AI in discovery.

Requirements

• 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
• 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
  • Defensibility documentation
• Working command of Relativity and RelativityOne.
• Client-facing experience, including scoping, defending, and explaining AI-assisted review to counsel and clients, protocol negotiations, and answering complex questions.
• Multi-jurisdiction experience delivering analytics or AI-assisted review outside the US or for non-US clients, with understanding of:
  • GDPR and cross-border data transfer constraints
  • Differences in UK, EU, or APAC disclosure practice compared to US discovery
• Commercial fluency, including packaging or pricing consulting work, partnering with sales on pursuits, and explaining utilization and margin to a CFO.
• Product partnership experience as the operational or practitioner voice on AI feature design, pilots, or adoption.
• Demonstrated experience building and developing a technical consulting team, including growing leads into managers and leading people across time zones.
• Clear, direct communication style able to explain validation concepts (including recall and elusion) to both legal leadership and technical team members.
• 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.
• Pay decisions informed by market and industry data while considering geography and labor markets, individual experience, and business needs.
• Estimated annualized base pay range for this position: $156,000 to $195,000 (individual compensation will vary).

Location

• Serves clients across the US, UK, Europe, and Asia Pacific, with practice operations across the US, EMEA, and APAC.