AI & Technology Initiatives Librarian, Stanford Law School
I study how institutions adopt and govern artificial intelligence, and I build AI tools for legal and academic research. At Stanford Law School, I develop AI discovery tools and retrieval-based research workflows, turn digital collections into research platforms, and help establish AI governance and auditing frameworks for legal research.
My research uses experiments, machine learning, and large language models to study how people and institutions respond to AI: how students judge classroom AI policies, how AI-generated explanations shape what people believe, how law schools govern generative AI, and how LLMs should be evaluated as research tools. Before Stanford, I was a Digital Humanities Analyst at Arizona State University, where I built AI tools and taught courses on deep learning, NLP, and AI.
My research examines how AI is changing higher education, legal research, and institutional governance, and how large language models can be evaluated and used responsibly as research tools.
A conjoint experiment testing how students evaluate AI integration across instructional materials, assessments, and personalized support, and which designs they find most useful.
A survey experiment showing that accurate AI explanations move people toward the facts, while deceptive ones move them away from the facts by a much larger margin.
A framework combining machine learning, transformer-based NLP, and SHAP explainability to predict whether a peace agreement will end armed conflict.
AI tools, learning resources, and digital collections I build for librarians, researchers, students, and legal educators.
A learning site that teaches law students and legal professionals to evaluate legal AI tools through litigation exercises built on one shared case, Mobley v. Workday, Inc. Each tutorial applies one tool (LexText, Harvey, Legora, CoCounsel, Lexis+ with Protégé) to the same court record, with an emphasis on source verification and professional judgment.
Answers questions across 105 oral history interviews with pioneering women in the legal profession, citing the passages it draws on. An independent model checks every citation before an answer is shown.
A digital archive of the CFP conferences, 1991–2015, with proceedings, audio, and press coverage, plus text analysis of how debates over technology and civil liberties changed across twenty-five years.
The records of the American Committee for Interoperable Systems, 1991–2001, with faceted search, a document viewer, and Chicago and Bluebook citations for every item.
Collects and classifies law school AI policies into four governance models (restrictive, disclosure-based, augmentation, and literacy-oriented), with searchable profiles, comparisons, and policy timelines.
A learning hub for librarians and researchers with practical guides, a curated directory of AI tools for higher education, and a newsletter on AI developments in academia.