LawAI Summer Fellowship 2027: Paid US AI Law and Policy Opportunity| Apply Now

The LawAI Summer Fellowship 2027 is a paid 10-week opportunity in Washington, DC, for law students, researchers, academics and professionals interested in artificial intelligence law, policy, regulation and governance. The fellowship runs from June 14 to August 20, 2027, with a weekly subsidy of $2,000.

The programme is offered by the Institute for Law & AI (LawAI) and focuses on the intersection of AI, law and public policy, particularly U.S. law and policy.

Fellows work with mentors on individual research projects or contribute to LawAI research and advisory initiatives. Potential outputs include policy briefs, research reports and law review articles.

Fellowship Responsibilities

Fellows may contribute to:

Legal research
Policy analysis
Research and advisory projects
Drafting reports and other written work
Presenting research findings
Reviewing other projects
Regular team meetings and professional discussions.

Some Fellows may also have opportunities to contribute to work involving policymakers, government bodies or private-sector organizations.

Eligibility Requirements

LawAI welcomes applicants from different professional and academic backgrounds who demonstrate a strong understanding of legal principles relevant to AI regulation in U.S. law and policy.

This knowledge may come from formal U.S. legal study or comparable professional experience. Previous specialized experience in AI law is not required.

Past Fellows have included graduate law students, PhD candidates, postdoctoral researchers, professionals transitioning into AI-focused roles and legal academics. Applicants must be available to participate full-time from June 14 through August 20, 2027.

Funding and Benefits

The LawAI Summer Fellowship provides:

$2,000 weekly subsidy
$10,000 relocation and housing stipend for Fellows relocating to Washington, DC
Eligible travel expenses for the June Convening Week
Flights, accommodation and meals for eligible Convening Week travel
Admission to the Summer Institute on Law and AI
Mentorship and professional development opportunities.

LawAI states that the $10,000 relocation and housing stipend is taxable income and does not require reimbursement or receipts.

International Applicants

Applicants outside the United States may apply if they have relevant U.S. legal experience or study.

If selected, LawAI says it will make reasonable efforts to support visa sponsorship, although final immigration eligibility is determined by the relevant authorities.

How to Apply

Applicants must submit an online application by January 29, 2027, at 11:59 PM Eastern Time. The application is expected to take approximately 20 minutes.

Applicants should explain their interest in AI law and policy, relevant legal or research experience and the questions they would like to explore during the fellowship.

The selection process includes an approximately 20-minute asynchronous exploratory interview followed, for advancing candidates, by a 45-minute project interview.

Strong Application Call

Start preparing your LawAI application early. Clearly demonstrate your understanding of U.S. AI law and policy, explain your relevant legal or research experience, and identify the questions you want to investigate during the fellowship.

Check your availability for the full June 14–August 20, 2027 period, prepare your application carefully and submit it through the official application system before the deadline.

Application deadline: January 29, 2027, at 11:59 PM ET.

Frequently Asked Questions

How much does the LawAI Summer Fellowship pay?

The fellowship provides a $2,000 weekly subsidy. Fellows relocating to Washington, DC may also receive a $10,000 relocation and housing stipend.

How long is the fellowship?

The programme lasts 10 weeks, from June 14 to August 20, 2027.

Is previous AI law experience required?

No. Applicants need to demonstrate relevant understanding of legal principles concerning AI regulation in U.S. law and policy, but specialized AI law experience is not required.