FW Associate Director of Legal Practice Technology Team and Knowledge Development

About the role

You are a seasoned eDiscovery professional who takes pride in both the craft of discovery and the people who practice it. You have built deep hands-on experience over the course of your career and are excited by the idea of using that knowledge to elevate others.

Responsibilities

• Teaching, mentoring, and translating complex discovery concepts into clear, practical guidance
• Energized by building strong teams through thoughtful training programs, engaging onboarding experiences, and well-designed knowledge resources
• Carefully invested in quality of work, learning, and collaboration
• Passionate about raising the bar across an already high-performing team
• Reporting to the Director of LPT and serving as the team’s primary education resource
• Designing, developing, and delivering training programs for a team of advisors, project managers, and data scientists dedicated to document and data analysis across complex legal matters
• Partnering with subject matter experts to develop training content across multiple delivery modalities
• Establishing systems to track training assignments, completion status, and comprehension outcomes
• Collaborating with managers to design onboarding programs that set new team members up for success from day one
• Serving as the team’s primary steward of operational knowledge, owning playbooks, SOPs, and supporting documentation that keeps the team aligned and effective
• Serving as the primary architect of LPT’s training program, designing comprehensive curriculum spanning technical skills, workflow proficiency, and professional development
• Tracking understanding and effectiveness of processes will be critical to the role
• Joining a leadership team dedicated to modeling open, constructive communication and cross-team collaboration
• Leading efforts to raise awareness of team services across the firm and contributing to initiatives that strengthen the department’s visibility and impact

Requirements

• Bachelor’s degree required; JD, LLM, or MBA is a plus but not necessary
• Minimum of 7 to 10 years of hands-on experience in ediscovery, litigation support, or discovery project management at a law firm, legal service provider, or corporate legal department, with demonstrated proficiency across the full EDRM lifecycle including data collection, processing, review workflow design, and production
• Deep working knowledge of leading ediscovery review and processing platforms
• Familiarity with analytics tools, AI-assisted review workflows, and emerging technologies applied to document-intensive legal matters
• Experienced in creating and delivering structured training programs for technical and complex roles
• Skilled in PowerPoint and presentation design, with confidence in conducting in-person training
• Proven experience creating, maintaining, and governing operational documentation including SOPs, workflow playbooks, and reference guides
• Experience establishing systems to track training completion and comprehension, defining KPIs and evaluation frameworks
• Ability to work effectively with subject matter experts, team managers, and senior leadership to align training initiatives with operational priorities
• Exceptional organizational skills, good judgment, and the ability to independently define and make progress on action items, with a commitment to consensus building
• Experience administering a learning management system (LMS) and developing training content in video format, including screen-capture walkthroughs and narrated instructional videos using tools such as Camtasia, Loom, or equivalent platforms is preferred
• Working knowledge of generative AI tools is a plus, including their practical application in legal services and discovery, including familiarity with prompt engineering techniques and agentic workflow development

Qualifications

Bachelor’s degree required; JD, LLM, or MBA is a plus but not necessary. Minimum of 7 to 10 years of hands-on experience in ediscovery, litigation support, or discovery project management at a law firm, legal service provider, or corporate legal department, with demonstrated proficiency across the full EDRM lifecycle including data collection, processing, review workflow design, and production. Deep working knowledge of leading ediscovery review and processing platforms. Familiarity with analytics tools, AI-assisted review workflows, and emerging technologies applied to document-intensive legal matters. Experienced in creating and delivering structured training programs for technical and complex roles. Skilled in PowerPoint and presentation design, with confidence in conducting in-person training. Proven experience creating, maintaining, and governing operational documentation including SOPs, workflow playbooks, and reference guides. Experience establishing systems to track training completion and comprehension, defining KPIs and evaluation frameworks. Ability to work effectively with subject matter experts, team managers, and senior leadership to align training initiatives with operational priorities. Exceptional organizational skills, good judgment, and the ability to independently define and make progress on action items, with a commitment to consensus building. Experience administering a learning management system (LMS) and developing training content in video format, including screen-capture walkthroughs and narrated instructional videos using tools such as Camtasia, Loom, or equivalent platforms is preferred. Working knowledge of generative AI tools is a plus, including their practical application in legal services and discovery, including familiarity with prompt engineering techniques and agentic workflow development.

Skills

• Training and mentoring
• Workflow design and implementation
• Operational documentation creation and maintenance
• Training content development and delivery
• System tracking and evaluation
• Subject matter expertise in ediscovery, litigation support, or discovery project management
• Knowledge of leading ediscovery review and processing platforms
• Familiarity with analytics tools, AI-assisted review workflows, and emerging technologies
• Experience with PowerPoint and presentation design
• Experience with learning management systems and video content creation
• Working knowledge of generative AI tools

Benefits

At Kirkland & Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.

Pay

The base salary range below represents the low and high end of the salary range for this position in New York, Bay Area and Chicago. This range may differ based on your geographic location and cost of living considerations.

• New York: $203,000 - $279,000
• Bay Area: $203,000 - $291,000
• Chicago: $203,000 - $253,000

How to Apply

Thank you for your interest in Kirkland & Ellis LLP. To complete an application and submit your resume, please click "Apply Now." Don't meet every job requirement? That's okay! If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others at Kirkland.

Equal Employment Opportunity

All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee’s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law.