The Role
Leads the design, implementation, optimization, and auditability of Generative AI and machine learning solutions for eDiscovery, litigation, and investigations. Consults with clients and legal counsel, develops prompts and AI workflows, collaborates with engineering, trains internal teams, and reports AI performance metrics to leadership. Requires strong expertise in Python, prompt engineering, LLMs, advanced ML, eDiscovery platforms, and communicating technical concepts to business and legal audiences.
Summary Generated by Built In
Associate Director of Legal Data Analytics
Contact Discovery Services, LLC
Location: Remote
Start Date: Negotiable
A leading eDiscovery technology and consulting firm headquartered in Washington, DC is looking for an Associate Director of Legal Data Analytics in the eDiscovery space to focus on designing and implementing client-specific solutions throughout the EDRM. The Associate Director of Legal Data Analytics will be a core part of the Advisory Services Team as they rapidly expand and make key investments in applying Generative AI and Machine Learning across complex disputes, investigations, and litigations.
The qualified candidate should have extensive experience with workflows supporting complex litigations and investigations. We take a consultative approach in working with our clients and managing cases and an extensive knowledge of the full EDRM, legal case management, and litigation lifecycle is important. This role demands a strong leader who can partner effectively with all levels of the organization.
This position offers an excellent opportunity to play a foundational role in our expanding Advisory Services team, helping transform strategic vision into practical, defensible, client-facing AI solutions within the eDiscovery industry. The ideal candidate will bring deep technical expertise in Generative AI and Machine Learning (ML), along with strong communication skills to effectively explain complex concepts to clients and internal stakeholders.
DUTIES OF THE POSITION:Technical Strategy & Execution (Focus on ML & Generative AI)
Contact Discovery Services, LLC
Location: Remote
Start Date: Negotiable
A leading eDiscovery technology and consulting firm headquartered in Washington, DC is looking for an Associate Director of Legal Data Analytics in the eDiscovery space to focus on designing and implementing client-specific solutions throughout the EDRM. The Associate Director of Legal Data Analytics will be a core part of the Advisory Services Team as they rapidly expand and make key investments in applying Generative AI and Machine Learning across complex disputes, investigations, and litigations.
The qualified candidate should have extensive experience with workflows supporting complex litigations and investigations. We take a consultative approach in working with our clients and managing cases and an extensive knowledge of the full EDRM, legal case management, and litigation lifecycle is important. This role demands a strong leader who can partner effectively with all levels of the organization.
This position offers an excellent opportunity to play a foundational role in our expanding Advisory Services team, helping transform strategic vision into practical, defensible, client-facing AI solutions within the eDiscovery industry. The ideal candidate will bring deep technical expertise in Generative AI and Machine Learning (ML), along with strong communication skills to effectively explain complex concepts to clients and internal stakeholders.
DUTIES OF THE POSITION:Technical Strategy & Execution (Focus on ML & Generative AI)
- Prompt Engineering & Refinement: Lead the creation, testing, and continuous refinement of advanced Generative AI prompts and strategies (e.g., using tools like Relativity aiR/eDiscovery AI) to maximize accuracy, efficiency, and defensibility of outputs.
- AI Auditability & QC Protocol: Assist in the design and implement the technical framework for the AI Auditability Protocol, ensuring all ML and Generative AI outputs are transparently logged and auditable (including full prompt history and system parameters) for legal defensibility.
- Model Optimization: Collaborate with the Engineering Team to integrate, test, and optimize both Generative and Non-Generative AI models within our custom workflows, ensuring optimal performance and accurate results.
- Development of New Technology: Analysis of off-the-shelf tools and make recommendations for new offerings. Suggest and plan the creation of tools that augment and improve current workflows using Generative and Non-Generative AI applications.
Client Consulting & Education (Focus on Communication)
- Expert Consulting: Act as the Subject Matter Expert (SME) in direct consultations with clients and legal counsel, clearly explaining the mechanics, defensibility, and limitations of our AI tools to build trust and drive adoption.
- Internal Enablement: Develop and deliver technical training and documentation on AI usage for the Sales and Client Services teams, turning complex concepts into clear, value-driven messages.
- KPI Reporting: Support the Managing Director in defining, tracking, and reporting on key AI usage and accuracy metrics (KPIs) to the Partner Team and C-Suite.
EXPERIENCE & QUALIFICATIONS:
- Minimum of 3 years in a Data Scientist, Machine Learning Engineer, or similar technical role, with significant experience in a regulated industry (Legal, Finance, or Healthcare).
- eDiscovery/Legal Tech Proficiency: Demonstrated experience or high familiarity with industry-standard eDiscovery platforms, specifically including Relativity aiR, eDiscovery AI, or similar advanced analytics tools.
- Technical Skills: Expert-level proficiency in prompt engineering, Python, data analysis, and experience working with large language models (LLMs) and advanced ML concepts.
- Communication: Proven ability to translate complex technical concepts (e.g., model drift, hallucination, confidence scoring) into clear, non-technical business language for a C-Suite and client audience.
SALARY RANGE:
ABOUT CONTACT:
Contact Discovery Services delivers best in class service to many Fortune 100/500 companies. Our growth is driven by investing in people and technologies, ensuring our customers have access to the highest level of customer service and the most qualified resources. Our team members are comprised of talented engineers, analysts, and project managers from all walks of life. We concentrate on engineering “outside-the-box” solutions to help organize discovery so our clients can focus on developing case strategy and leaving the heavy lifting to us. Employees are encouraged to actively participate in the development of new ideas, technology, and processes to ensure our customers receive the highest level of service. We offer competitive benefits, work schedule flexibility, and coordinate various company activities throughout the year. If you are looking to be part of an exciting, fast paced environment then we want to hear from you.
- $125,000.00 - $160,000.00
Contact Discovery Services delivers best in class service to many Fortune 100/500 companies. Our growth is driven by investing in people and technologies, ensuring our customers have access to the highest level of customer service and the most qualified resources. Our team members are comprised of talented engineers, analysts, and project managers from all walks of life. We concentrate on engineering “outside-the-box” solutions to help organize discovery so our clients can focus on developing case strategy and leaving the heavy lifting to us. Employees are encouraged to actively participate in the development of new ideas, technology, and processes to ensure our customers receive the highest level of service. We offer competitive benefits, work schedule flexibility, and coordinate various company activities throughout the year. If you are looking to be part of an exciting, fast paced environment then we want to hear from you.
Skills Required
- At least 3 years of experience as a Data Scientist, Machine Learning Engineer, or in a similar technical role
- Significant experience working in a regulated industry such as Legal, Finance, or Healthcare
- Experience or strong familiarity with eDiscovery platforms, including Relativity aiR, eDiscovery AI, or similar advanced analytics tools
- Expert-level proficiency in prompt engineering, Python, and data analysis
- Experience with large language models and advanced machine learning concepts
- Ability to explain technical concepts such as model drift, hallucination, and confidence scoring to C-suite leaders and clients
- Extensive experience supporting complex litigation and investigation workflows, with knowledge of the EDRM and legal case management
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The Company
What We Do
Contact’s team is composed of technologists and legal professionals who understand superior service determines the success of all our client relationships. Expect your project manager, analyst, engineer or paralegal to participate as a member of your team. Contact is always available to provide thoughtful solutions with the goal of being your first call, go-to legal technology solutions provider.
