Senior Legal AI & Analytics Specialist, Legal Operations

Position Summary

We are seeking a hands-on Senior Legal AI & Analytics Specialist to serve as the Legal department's AI technologist, legal technology owner and analytics lead within the Legal Operations Team. In this role, you will translate Legal's AI priorities into secure, governed and well-adopted solutions, and turn Legal's operational and financial data into insight leaders can act on.

Key Responsibilities

• Run the Legal AI and legal-technology roadmap with the Legal Ops COE Lead and the Legal AI COE: define requirements, sequence use cases and deliver measurable outcomes.
• Coordinate evaluation, selection and onboarding of AI and legal-tech solutions; prepare intake documentation and manage reviews with Privacy, Information Security, Information Governance, Procurement and the AI review board.
• Configure, administer and support Legal's AI and legal-tech platforms (e.g., Microsoft 365 Copilot and Copilot Studio, Enterprise AI Portal, CLM, e-billing and knowledge repositories): access, permissions, integrations, testing, releases, issue resolution and vendor management.
• Build, test, document and maintain AI agents, assistants, prompt libraries and automated workflows for approved Legal use cases.
• Put in place human-review controls, logging, data-classification and retention requirements, and quality and accuracy testing in line with AI policies and applicable regulations.
• Make Legal content AI-ready through template governance, clause and playbook libraries, document organization and metadata; drive adoption through training and enablement.
• Build and maintain Legal KPI/KRI dashboards and recurring reports in Power BI, Excel or comparable tools.
• Produce monthly outside counsel spend, accrual-support and budget-variance analytics; support annual budget and forecast process with Finance.
• Define metric definitions, a data dictionary and data-quality rules; standardize taxonomies and measure cycle times, throughput and bottlenecks.
• Maintain an AI use-case inventory and report usage, adoption, time saved and value realization; support benchmarking against CLOC, Gartner and peer data.
• Prepare executive-ready visualizations and narratives for leadership meetings and board materials; track the legal-AI market and vendor roadmaps.

Qualifications

• 5+ years implementing, configuring or supporting enterprise SaaS, legal-technology, knowledge-management, workflow-automation or business intelligence platforms, including 2+ years of hands-on work with generative AI.
• Practical experience with large language models, agent and assistant configuration, prompt design, retrieval and grounding, and evaluation and testing of AI outputs.
• Advanced Excel (pivot tables, Power Query, lookups) and hands-on dashboard development in Power BI (DAX/data modeling) or Tableau.
• Understanding of integration concepts (APIs, connectors, data pipelines) and identity and access management, including SSO and role-based permissions.
• Experience supporting technology governance, risk, privacy or security reviews and enterprise approval processes.
• Proven ability to analyze business processes, find automation opportunities and redesign workflows with users.
• Strong project-execution, communication and training skills.
• Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.
• Bachelor's degree in Information Systems, Computer Science, Business Analytics, Finance, Legal Studies or a related field, or equivalent experience.

Additional Skills (Preferred)

• Experience in a corporate legal department, law firm or regulated life-science, diagnostics or medical-device environment.
• Experience with Microsoft 365 Copilot, Copilot Studio, Power Platform, SharePoint or comparable enterprise AI platforms.
• Experience with legal platforms and data such as CLM (Icertis), e-billing and spend management (CounselLink, LEDES/UTBMS codes), matter management, document management or privacy management (TrustArc).
• Familiarity with AI governance frameworks and regulations such as ISO/IEC 42001, NIST AI RMF and the EU AI Act.
• SQL, familiarity with enterprise data platforms (Databricks) and scripting or low-code skills (Python, Power Fx).
• Certifications in Microsoft AI/Power Platform or legal technology, and exposure to CLOC benchmarking.