Senior Legal AI & Analytics Specialist, Legal Operations
$98.4k - $147.6kIllumina
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. You will configure and support enterprise AI and legal-tech platforms, build and maintain approved agents, assistants, prompts and automated workflows, and own Legal's reporting and dashboards, including outside counsel spend and accruals, budget versus actuals, matter and contract cycle time, intake volumes and AI adoption. You will work closely with the Legal AI COE, the Chief AI Officer's Enterprise AI team, IT, Information Security, Privacy, Finance, Procurement and the architecture/AI review board.
The ideal candidate brings practical generative-AI and legal-technology experience, strong BI and financial-analysis skills, and a firm grasp of AI governance and data quality, with the ability to give the Chief Legal Officer and the Legal Leadership Team one trusted view of performance and of the value delivered by the Legal Ops Team.
Key Responsibilities:
- AI & Legal-Tech Roadmap: 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.
- Solution Evaluation: 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.
- Platform Administration: Configure, administer and support Legal's AI and legal-tech platforms (for example Microsoft 365 Copilot and Copilot Studio, the Enterprise AI Portal, CLM, e-billing and knowledge repositories): access, permissions, integrations, testing, releases, issue resolution and vendor management.
- Development and Testing: Build, test, document and maintain AI agents, assistants, prompt libraries and automated workflows for approved Legal use cases, such as a policy navigator, contract playbooks, NDA/CDA triage, legal intake assistance and knowledge search.
- Responsible AI Controls: Put in place human-review controls, logging, data-classification and retention requirements, and quality and accuracy testing in line with Illumina's AI policies and applicable regulations.
- Content Readiness & Adoption: Make Legal content AI-ready through template governance, clause and playbook libraries, document organization and metadata. Drive adoption through training, office hours, champions enablement, user guides and AI best-practice communications.
- Dashboards & Reporting: Build and maintain Legal KPI/KRI dashboards and recurring reports in Power BI, Excel or comparable tools, drawing on e-billing (CounselLink), procurement (Ariba), CLM (Icertis), ERP/finance, intake and survey data.
- Spend, Budget & Rate Analytics: Produce monthly outside counsel spend, accrual-support and budget-variance analytics, and support the annual budget and forecast process with Finance. Analyze law-firm rates, staffing and invoices to support rate governance, fee-offer review, billing-guideline compliance, preferred-provider decisions and firm performance scorecards.
- Data Quality & Operational Metrics: Define metric definitions, a data dictionary and data-quality rules, and partner with system owners to fix data gaps and standardize taxonomies (matter types, practice areas, vendors). Measure contract and matter cycle times, throughput, bottlenecks and workload to support resource planning.
- Monitor and Measure Success: Maintain an AI use-case inventory and report usage, adoption, time saved and value realization. Support benchmarking against CLOC, Gartner and peer data, and analyze stakeholder satisfaction and workload surveys.
- Executive Communication & Market Awareness: Prepare clear, executive-ready visualizations and narratives for leadership meetings and board materials as requested. Track the legal-AI market, vendor roadmaps and enterprise platform changes, and recommend fit-for-purpose options that avoid shadow AI and duplicate tools.
Qualifications:
- Technical Skills: 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.
- AI Expertise: Practical experience with large language models, agent and assistant configuration, prompt design, retrieval and grounding, and evaluation and testing of AI outputs.
- Analytics Skills: Advanced Excel (pivot tables, Power Query, lookups) and hands-on dashboard development in Power BI (DAX/data modeling) or Tableau, with experience extracting, reconciling and validating data from e-billing, procurement, ERP or contract systems.
- Integration & Security: Understanding of integration concepts (APIs, connectors, data pipelines) and of identity and access management, including SSO and role-based permissions.
- Governance & Data Quality: Experience supporting technology governance, risk, privacy or security reviews and enterprise approval processes, with strong attention to detail, data-quality discipline and confidentiality when handling sensitive legal and financial information.
- Analytical Skills: Proven ability to analyze business processes, find automation opportunities and redesign workflows with users.
- Communication: Strong project-execution, communication and training skills, with the ability to explain technical concepts and translate data into clear recommendations for attorneys, business users and senior audiences.
Experience and Education:
- 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. Experience in a corporate legal department, law firm or regulated life-science, diagnostics or medical-device environment is a plus.
Additional Skills:
- Experience with Microsoft 365 Copilot, Copilot Studio, Power Platform (Power Automate/Apps), SharePoint or comparable enterprise AI platforms is a plus.
- Experience with legal platforms and data such as CLM (e.g., Icertis), e-billing and spend management (e.g., CounselLink, LEDES/UTBMS codes), matter management, document management or privacy management (e.g., TrustArc) is a plus.
- Familiarity with AI governance frameworks and regulations, such as ISO/IEC 42001, the NIST AI RMF and the EU AI Act, and with privacy requirements for sensitive or genomic data, is a plus.
- SQL, familiarity with enterprise data platforms (e.g., Databricks) and scripting or low-code skills (e.g., Python, Power Fx) are a plus.
- Certifications in Microsoft AI/Power Platform or legal technology, and exposure to CLOC benchmarking, are a plus.
Why Join Us:
- Opportunity to work on innovative products that make a real difference in healthcare and research.
- Collaborative and supportive work environment.
- Competitive salary and benefits package.
- Professional growth and development opportunities.
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