Note: The job is a remote job and is open to candidates in USA. Contact Discovery Services, LLC is hiring an Associate Director of Legal Data Analytics to design and implement client-specific eDiscovery solutions across the EDRM. The role leads the development and optimization of Generative AI and Machine Learning workflows, advises clients on AI tools, and supports internal training and KPI reporting.

Responsibilities

• 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
• 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

Skills

• The qualified candidate should have extensive experience with workflows supporting complex litigations and investigations
• An extensive knowledge of the full EDRM, legal case management, and litigation lifecycle
• A strong leader who can partner effectively with all levels of the organization
• 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
• 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)
• Demonstrated experience or high familiarity with industry-standard eDiscovery platforms, specifically including Relativity aiR, eDiscovery AI, or similar advanced analytics tools
• Expert-level proficiency in prompt engineering, Python, data analysis, and experience working with large language models (LLMs) and advanced ML concepts
• 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

Benefits

• Remote work
• Work schedule flexibility
• Company activities throughout the year

Company Overview