Article Submissions
Electronic Submissions
Expedited Review
General Guidelines
Guidelines for Empirical Submissions
Electronic Submissions
The New York University Law Review is excited to announce that we will be transitioning to a new article submission service. Starting with our next submission cycle in February 2013, we will only accept submissions through Scholastica (www.scholasticahq.com) and will no longer accept submissions through ExpressO.
Institutions can create accounts to pay for their authors' submissions to Scholastica, so authors affiliated with law schools will have the same payment experience they have had on ExpressO. Scholastica is committed to ensuring that authors are able to submit articles regardless of institutional support and will consider requests for fee waivers and other accommodations (info@scholasticahq.com). Additional information about Scholastica is available at www.scholasticahq.com/law_reviews.
If you must submit a hard copy, please mail your submission to:
Senior Articles Editor
New York University Law Review
110 West Third Street
New York, NY 10012-1003
Expedited Review
When requesting expedited reviews of previously submitted articles, please do so via Scholastica or by email to lawreview@nyu.edu. Please include the words “request for expedited review” in the subject line of the email.
General Guidelines
The N.Y.U. Law Review has a strong preference for accepting pieces under 35,000 words including text and footnotes. We believe that the vast majority of law review articles can convey their arguments effectively in 40-70 journal pages (between 20,000 and 35,000 words including text and footnotes). We encourage authors to target the lengths of their submissions to this range.
Citations should conform to the Nineteenth Edition of The Bluebook: A Uniform System of Citation.
Guidelines for Empirical Submissions
If your manuscript contains novel empirical evidence or analysis, we recommend that you follow the guidelines below. Our guidelines are not mandatory; we will review all submissions, but authors should have a good reason to significantly depart from the guidelines.
- Please describe your procedures in sufficient detail to permit reviewers to understand and evaluate what has been done and to permit other scholars to carry out similar analyses on other data sets.
- Your manuscript should be self-contained with respect to methodology; you should provide sufficient detail so that most readers can evaluate your methods.
- For experiments, provide full methodological details, including experimental protocols, methods of subject recruitment and selection, subject payments and debriefing procedures, and so on.
- If your manuscript reports data from a previously-published dataset (or one that is being considered for publication), you should include a statement in the cover letter describing how your research is different from the other research that uses the same dataset and providing citations. If this disclosure is not feasible because a large amount of research uses this dataset (e.g., the NCSC Surveys of State Courts), then you need only provide citations of representative scholarship in the area.
- If your manuscript relies on data from a dataset, please describe how you collected the data so that we may assess the possibility of selection bias. For example, if you conducted a survey, you should provide the survey instrument and a description of the survey frame and population from which the respondents were chosen. If you performed Westlaw or LexisNexis searches to collect the data, you should explain what search terms you chose, why you chose them, and how you coded the data, including your strategy for removing irrelevant results.
- If your manuscript contains original research on human subjects, please include a statement in the cover letter indicating that the research was approved by an Institutional Review Board.
- You need not submit copies of your dataset and commands used to produce the empirical results (e.g., .dat and .do files, respectively, for Stata), but you can do so if it would be helpful to evaluate your results. Please note that the Law Review asks authors of empirical work published in our journal to make their dataset publicly and permanently available online using the Law Review's data repository, if feasible. We recognize that there may be exceptions for certain types of data sets.
- Lastly, if your manuscript advises readers that additional information is available, please submit copies of that information with the manuscript.