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AI & Technology Initiatives Librarian

Job in Stanford, Santa Clara County, California, 94305, USA
Listing for: Code4lib
Full Time position
Listed on 2026-09-20
Job specializations:
  • IT/Tech
    AI Business & Operations, Cybersecurity, Information Security & Data Protection, Information & Knowledge Management
Salary/Wage Range or Industry Benchmark: 124864 - 147970 USD Yearly USD 124864.00 147970.00 YEAR
Job Description & How to Apply Below

AI & Technology Initiatives Librarian

Innovation that is secure, accessible, and student-centered advances Stanford Law School’s teaching and research. The AI & Technology Initiatives Librarian identifies, evaluates, and implements state-of-the-art legal technology through risk-aware pilots and thoughtful rollouts. Working across the library, IT, and faculty, this role turns pedagogical goals into reliable services that expand capability while protecting privacy and equity.

JOB PURPOSE

The AI & Technology Initiatives Librarian bridges pedagogical goals and technological solutions, focusing on operational and user-experience innovation. The incumbent leads the library’s AI & Technology program, developing long-term strategy, policies, and services that ensure emerging tools are responsibly and sustainably integrated into teaching and research. This includes managing pilots with risk controls, setting program-level goals, and coordinating with IT, faculty, and other librarians to scale successful initiatives.

The librarian also contributes directly to teaching and developing and delivering workshops, guest lectures, and classroom sessions on emerging technologies, digital literacy, and responsible AI use, ensuring students and faculty build the skills to critically evaluate and apply these tools in their scholarship and practice. This position reports to the Associate Director for Access Services.

CORE DUTIES Teaching Responsibilities
  • Design and Teach Workshops for students, faculty, and staff on topics such as responsible AI use, technology adoption, and digital accessibility.
  • Integrate emerging technology demonstrations into classroom teaching and legal research instruction, in collaboration with Faculty and Reference Librarians.
  • Develop online guides, tutorials and modules to support independent learning on AI and Legal technology.
  • Serve as a resource for faculty incorporating AI and technology into their courses, offering instructional design support and tool recommendations.
  • Mentor and train librarians and staff across the law library in the responsible use of AI technologies, building collective capacity so that AI/tech services are woven into reference, instruction, and collections work.
  • Coordinate closely with the Data Science & AI Librarian to ensure complementary support: this position emphasizes implementation and governance of AI/tech platforms (vendor evaluation, risk management, rollout), while the Data Science & AI Librarian emphasizes data curation, computational workflows, and research methods training.
  • Lead AI tool governance: run intake reviews (security, privacy/FERPA, accessibility) with IT/General Counsel/SLS Leadership; document risks/mitigations pre-pilot.
  • Operationalize the NIST AI Risk Management Framework (incl. the Generative AI Profile) for pilots and production; maintain an AI risk register.
  • Own vendor & rollout management (e.g., Lexis+ AI, Westlaw Precision AI, Bloomberg Law, CoCounsel): pilot charters, success metrics, DPA/license coordination, SSO/configuration, comms, and training plans.
  • Own the end-to-end rollout of new AI tools (e.g., Lexis+ AI, Westlaw Precision AI): draft a short pilot plan, define success metrics, coordinate privacy/security and licensing with IT/Legal/Procurement, set up SSO/configuration, and provide training, quick-start guides, and a support path.
  • Partner with the E-Resources Librarian on licensing, authentication, access, usage analytics, and end-user support for legal AI databases; ensure license compliance (e.g., no training/fine-tuning on licensed content unless expressly permitted).
  • Run AI red-team tests (prompt injection/jailbreak scenarios) and capture mitigations; verify vendor guardrails match SLS policy.
  • For hosted or…
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