AI & Technology Initiatives Librarian, Stanford Law School Job at Inside Higher

AI & Technology Initiatives Librarian, Stanford Law School

This is a Hybrid position. 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 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 open-source LLMs, set up with IT : monitoring / usage analytics, secrets management, role-based access, and configuration aligned to policy.

Build light automation / integration (APIs, small Python / webhook scripts) and maintain user-facing documentation / service catalog.

Provide platform / tool onboarding training (vendor AI, lab-hosted LLMs, chatbots) for faculty, students, and staff.

Oversee evaluation of pilot and production services, issuing strategic recommendations on whether to scale, invest, or sunset technologies. Present findings to library leadership and contribute to budget planning for technology investments.

Chair the Library AI Advisory Group and serve as the primary liaison to campus-wide AI governance committees, ensuring the law library’s voice is represented in institutional decision-making. Publish notes and maintain a shared roadmap aligned to campus and Stanford Law School policy.

Participate in the shared AI & Innovation intake queue; triage and co-staff multi-facet projects.

Success Metrics

Number of pilots completed; time-to-launch; percent of passing security / privacy / accessibility reviews; ROI / cost metrics; user satisfaction.

Other Duties

The statements above describe the general nature and level of work performed. They are not an exhaustive list of all responsibilities and duties. Duties, responsibilities, and activities may change, or new ones may be assigned, at any time at the University’s discretion.

Technology Scope

In addition to AI-specific platforms, this position will work with related ("AI-adjacent") technologies and software. Examples may include : learning management and course tools (e.g., LMS / LTI integrations); legal research and discovery platforms; content management and web publishing; accessibility testing tools; analytics / dashboards; identity and access (e.g., Single Sign-On); APIs and light integrations; programming or notebook environments (e.g., Python / Jupyter); version control (e.g., Git); and service / ticket systems. Experience with any subset is welcome; training will be provided.

Minimum Requirements

Education & Experience :

Advanced degree in Library Science (ALA‑accredited MLIS / MLS) or a relevant academic discipline by start date, or an equivalent combination of education and experience.

Five or more years of relevant experience in an academic, law, or research library setting, or in a similar research-focused organization, with evidence of capacity to lead at a high level of responsibility.

Knowledge, Skills and Abilities

Required :

Demonstrated experience in evaluating and implementing library technologies.

Strong understanding of the legal technology landscape and emerging AI tools.

Proven ability in project management and service development.

Knowledge of data privacy and security best practices relevant to AI.

Working knowledge of digital accessibility standards for instructional and public-facing tools.

Preferred :

Experience with legal research platforms and legal-specific AI tools.

Demonstrated experience in or strong desire to learn instructional design, teaching, and pedagogical best practices.

Familiarity with REST / GraphQL APIs, webhooks, and the Model Context Protocol (MCP) for connecting AI tools to campus systems; ability to write small integration scripts (Python / JavaScript) and lightweight UI glue (HTML / CSS).

Experience configuring SSO (SAML / OIDC) and basic identity / permission models for SaaS tools.

Working knowledge of LLM evaluation / guardrails and RAG concepts to scope and review vendor pilots (no model training required).

Comfort with JSON / YAML config, CLI tooling, and container basics (e.g., Docker) for proofs of concept.

Awareness of AI risk frameworks (e.g., NIST AI RMF / Generative AI Profile) for pilot checklists and documentation.

Physical & Working Conditions : Primarily a sedentary role involving desk-based computer tasks. May occasionally lift or move objects up to 10 pounds. Work is in a typical office environment; extended hours, evenings, and weekends may be required to complete projects.

Benefits & Professional Development

Benefits : Comprehensive package including health benefits, retirement plan, time away, professional growth stipend, tuition reimbursement, and work-life balance programs. The expected pay range for this position is $124,864 to $147,970 per annum.

Stanford University provides pay ranges as a good-faith estimate. Specifics about the rewards package will be discussed during the hiring process. Schedule : Full-time. Job Code : 1783. Employee Status : Regular. Grade : I. Requisition ID : 107488. Work Arrangement : Hybrid Eligible.

Additional Information : This description reflects the general nature and level of work performed. It is not an exhaustive list of duties and responsibilities. Some content may be omitted for brevity.

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