Stanford Law School
5 days ago
Research Fellowship in AI and the Law at Stanford Law School Stanford Law School in United States
Degree Level
not provided
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
Stanford Law School

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About this position
Stanford Law School’s Legal Innovation through Frontier Technology Lab (liftlab) is advertising a Research Fellowship in AI and the Law in Stanford, California, USA. The role is a Research Fellow position focused on research at the intersection of law, artificial intelligence, legal technology, machine learning, natural language processing, statistics, and causal inference.
The fellowship supports projects such as LLM-based interventions for negotiation outcomes, auditing and mitigating bias in LLMs via pruning, AI tutors for law and contract drafting, and benchmarks for high-judgment domains. Responsibilities include data validation, statistical modeling, data collection and analysis, literature reviews, manuscript writing, survey design, IRB compliance, and communicating findings.
Eligibility highlights include a minimum BA in an applicable social science field or equivalent experience. Preferred preparation includes a degree in Computer Science, Computational Linguistics, or Symbolic Systems, plus statistics and programming experience, Python and R, and ML/DL experience. The post is aimed at recent graduates considering a graduate degree soon, including PhD or JD pathways.
This is a full-time, on-site, one-year fixed-term fellowship with intention to renew for a second year. Compensation is listed at $29.52–$34.13/hour, with 18+ PTO days per year and health benefits from day one.
To apply, use the Stanford career search link in the post and submit through the fellowship listing.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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