The Institute for Law & AI (LawAI) Summer Research Fellowship supports researchers working at the intersection of law, policy and artificial intelligence, with the in-person week held in Washington, D.C. The programme runs in 2 parts: a remote phase of 8 to 12 weeks in which fellows carry out preparatory research on assigned projects, followed by a 1-week on-site research week in Washington of immersive activities, mentoring and networking with policymakers. Fellows receive a stipend of around US$15,000, with round-trip flights, accommodation for the on-site week and meals covered. The fellowship is open to applicants of all nationalities, including graduate law students (JD or LLM), PhD candidates, postdoctoral researchers, legal academics, and professionals transitioning into AI law and policy; previous AI research experience is not required. Shortlisted candidates complete a video interview and a research interview, and the required documents are an updated CV and the online application form. Stipend amounts, exact on-site dates and the current-cycle deadline change each year, so confirm the figures and dates on the official LawAI fellowship page before you apply.
Applicants apply online through the LawAI fellowship page, submit a short set of documents, and�if shortlisted�complete a video interview and a research interview before final selection.
The remote phase can be completed from anywhere; only the 1-week on-site component requires travel to Washington, D.C. International applicants should plan for the relevant U.S. entry documentation.
Open to all nationalities
Applications are assessed on the candidate's interest in and aptitude for AI law and policy research, the relevance of their academic or professional background, and their fit with LawAI's project areas. Shortlisted applicants are evaluated further through a video interview and a research interview, and offers go to the strongest candidates across the eligible profiles.
The Institute for Law & AI (LawAI) is a research institute focused on the legal and policy challenges of artificial intelligence. It works with governments, international organisations and other partners to develop legal and governance approaches to AI, and runs research fellowships that bring lawyers, academics and policy researchers into its project work.
Answers below are best-effort estimates from the most recent application cycle. Values marked ~ or (est.) may shift year-to-year — confirm specifics on the official scholarship page.
Applicants of all nationalities, including graduate law students (JD or LLM), PhD candidates, postdoctoral researchers, legal academics, and professionals transitioning into AI law and policy.
Yes. Fellows receive a stipend of around US$15,000 (~EUR 14,000 (est.)), plus round-trip flights, accommodation for the on-site week and meals.
The stipend is approximately US$15,000 for the fellowship period; confirm the current-cycle figure on the official LawAI page, as amounts can change.
The remote research phase can be done from anywhere, and the 1-week on-site research week is held in Washington, D.C., United States.
It has a remote phase of 8 to 12 weeks followed by a 1-week on-site research week in Washington, D.C.
No. Previous AI research experience is not required; a genuine interest in AI law, policy and its societal impact is what counts.
An updated CV and the completed online application form. Shortlisted candidates also complete a video interview and a research interview.
The deadline falls around 15 January for the upcoming cycle (~15 January 2027 (est.)); verify the exact date on the official page.
Yes. Shortlisted applicants complete a video interview and a research interview before final selection.
Yes. International fellows are supported with documentation for the on-site week; plan ahead for the relevant U.S. entry requirements.
Fellows work on AI law and policy projects, spanning legal research, AI governance and technology regulation, matched to their background.
Selected fellows are contacted directly after the interview stage with onboarding details for the remote and on-site phases.