Associate Director of Legal Data Analytics

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)

• 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.