Call for Submissions: Stanford Law & Policy Review Vol. 38

1
47
Posted by Isabella Absi, community karma 47

The Stanford Law & Policy Review (SLPR) is now accepting submissions for Volume 38. SLPR is one of the nation's most prominent policy journals, informing public discourse by publishing rigorous articles that analyze the intersection of the U.S. legal system with local, state, and federal policy. We welcome submissions reflecting a broad range of political and professional perspectives, and we especially encourage practitioners—such as attorneys, policy advocates, and government officials—to submit alongside academics.

We seek pieces offering novel insights, rigorous analysis, and concrete policy implications. Topics may include, but are not limited to, civil rights, criminal justice, education, environmental policy, healthcare, housing, technology, labor, national security, and tax.

Submission Requirements

  • Articles should be 15,000–25,000 words, including footnotes.
  • Each submission should include a manuscript, abstract, and CV for each author.
  • Citations should conform to The Bluebook (22nd ed.).
  • We welcome submissions from academics, practitioners, and policymakers. Current J.D. and LL.M. students and undergraduates are not eligible.

Timeline

We review submissions on a rolling basis through the end of August.

How to Submit

Please submit your manuscript via Scholastica. Questions may be directed to Isabella , Lead Articles Editor, at absi@stanford.edu

–––

AI Use Disclosure: Authors must disclose any use of artificial intelligence tools in the preparation of their submission, including in the research, drafting, and editing process. Submissions that fail to include a required disclosure will be immediately disqualified from consideration.

Authors are solely accountable for the accuracy and originality of their submitted work. Each claim must be traced accurately and honestly to its source material. SLPR reserves the right to rescind an offer of acceptance if sources are misrepresented or citations are fabricated, including through the use of AI tools.