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AI & Technology Initiatives Librarian, Stanford Law School

School of Law, Stanford, California, United States

New

Library

Post Date 5 hours ago

Requisition # 107467

This is a Hybrid position.

**NOTE** : This position has been deemed critical/has specific funding, has been approved by the Law School for posting, and is exempt from the hiring freeze.

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** incorporatingAI 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 local/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 Schoolpolicy.

+ **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).s integration.

+ 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 Requirements:** Primarily a sedentary role involving desk-based computer tasks. May occasionally lift or move objects up to 10 pounds. _Consistent with its obligations under the law, the University will provide reasonable accommodations to any employee with a disability who requires an accommodation to perform the essential functions of the job_

+ **Working Conditions:** Work is performed in a typical office environment. May work extended hours, evenings, and weekends as needed to complete projects or support events.

+ **Work Standards:**

+ **Interpersonal Skills:** Demonstrates the ability to work well with colleagues and clients and with external organizations.

+ **Promote Culture of Safety:** Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.

+ Subject to and expected to comply with all applicable University policies and procedures.

Benefits & Professional Development

We are committed to the well-being and growth of our staff. This position includes a comprehensive benefits package, effective on the first day of employment, featuring:

+ **Health & Wellness:** Multiple medical, dental, and vision plans; health savings and flexible spending accounts; and access to wellness facilities and financial incentives.

+ **Retirement:** A generous 403(b) retirement plan with university contributions and matching.

+ **Time Away:** Substantial paid time off, including vacation, 11 paid holidays, a two-week winter closure, sick leave, and baby bonding leave.

+ **Professional Growth:** An annual professional development stipend and a tuition reimbursement program for degree programs.

+ **Work/Life Balance:** Programs to support a healthy work/life balance, including child care subsidy grants, back-up dependent care, and free commute passes.

_The expected pay range for this position is $124,864 to $147,970 per annum._

_Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs._

_At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (_ **_https://cardinalatwork.stanford.edu/benefits-rewards_** _) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process._

Additional Information

+ **Schedule: Full-time**

+ **Job Code: 1783**

+ **Employee Status: Fixed-Term**

+ **Grade: I**

+ **Requisition ID: 107467**

+ **Work Arrangement : Hybrid Eligible**