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Duke Law & Technology Review

Submissions for our journal are currently closed

Thank you for your interest in publishing with the Duke Law & Technology Review. Our submission window for Volume 27 (2026-27 academic year) is closed.

If you have any questions, please reach out to the Editor-in-Chief at DLTR@law.duke.edu.

For Authors

Submit an Article

Thank you for your interest in submitting an Article to the Duke Law & Technology Review (DLTR). To tailor your submission to DLTR’s format, please review the guidelines below. Questions not answered here may be directed to the Editor-in-Chief at DLTR@law.duke.edulinktext.

Submission Platform: DLTR accepts Article submissions exclusively through Scholastica. We do not accept submissions by email or hard copy.

Eligibility: DLTR accepts submissions from academics, practitioners, policymakers, and technologists. DLTR does not consider articles written by current J.D. students outside of the journal’s current staff editors. We especially encourage submissions from members of the Duke Law community, including alumni now in practice, government, and industry.

Review Cycle: DLTR reviews submissions for the current cycle from July 17, 2026, through August 31, 2026. We encourage authors to submit as early in the cycle as possible. We review submissions on a rolling basis, so earlier submissions receive earlier decisions. Every submission is read by multiple editors, and decisions are communicated through Scholastica.
In evaluating submissions, we weigh the strength and originality of the argument, the quality and accuracy of sourcing, engagement with prior scholarship, the clarity of the writing, accessibility to our broad readership, and the fit of the topic with DLTR’s mission.

Topic: DLTR considers articles on any subject at the intersection of technology and the law. We encourage submissions offering novel legal analysis, a unique perspective on current issues, or those that deepen readers’ understanding of a historical issue in technology law.

Style: DLTR reaches a wide audience of legal scholars, practitioners, technology professionals, and the public. We favor submissions that pair sound legal analysis with accessible, engaging writing that persuasively presents the merits of its argument.

Format: A DLTR article generally includes an abstract, introduction, background, argument, and conclusion. Prospective authors may find it helpful to review published DLTR articles as templates. Strong submissions grab the reader’s attention in the opening paragraph. All manuscripts must conform to the most recent edition of The Bluebook: A Uniform System of Citation and should be substantially complete and polished prior to submission. All manuscripts must be submitted in Microsoft Word (.docx) format.

Length: There is no strict word or page limit, but the majority of accepted submissions fall between 20 and 30 pages, including footnotes.

Volume 27 Policy on Use of Artificial Intelligence (AI) Tools: The use of AI tools to produce any of the writing in an article is academic fraud and is not permitted for any DLTR submissions. Authors can use AI tools to assist with research, provided that they disclose all their AI use in detail and certify that they have independently verified all content generated by AI. Authors remain fully responsible for the accuracy of all citations and sources in their submission, including any found with AI assistance.

The purpose of disclosure and independent verification is to ensure transparency, accountability, appropriate editorial review, and to guard against plagiarism and academic fraud. Upon discovering improper or undisclosed AI use, DLTR may:
(i). Disqualify your article from consideration for publication;
(ii). Withdraw your publication offer; and/or
(iii). Inform your school and/or employer about the improper AI use.

DLTR reserves the right to take other remedial actions based on the nature and severity of the improper AI use.

AI Disclosure Statement: As part of submission, authors must include a statement describing, in detail, (1) the extent of AI usage in each stage of the writing process; (2) the specific AI tools used and how each tool was used; and (3) an overview of your process to independently verify the content.
Authors must also certify compliance with any AI-use policies imposed by their employer or academic institution.

Independent Verification of All Content: Authors must certify that they have independently verified the accuracy of all the content in their article, including but not limited to (1) citations to cases, statutes, regulations, articles, datasets, websites, and other sources; (2) quotations; (3) factual, empirical, and historical claims; and (4) representations about the content of any cited source. “Independent verification” means that you have reviewed the original source, rather than relying on an AI-generated description, citation, or quotation.

Prior Publication: Submissions must not have been published previously and must not be under contract for publication elsewhere. Drafts posted to preprint services such as SSRN, and pieces presented at conferences or workshops, remain eligible. If any portion of a manuscript has appeared in print or online before, please tell us in your submission.

Expedited Review: Authors who have received a publication offer from another journal may request expedited review. Please submit your request through Scholastica and include: (1) the offer deadline, and (2) the name of the offering journal. We will make every reasonable effort to accommodate expedite requests but cannot guarantee a decision before your stated deadline. If you accept an offer elsewhere, please withdraw your submission promptly through Scholastica.

DLTR may revoke an acceptance, or retract a published piece, if we find plagiarism, fabricated or unverifiable sources, a violation of the policies on this page or in the author agreement, or any other instance of academic fraud. For empirical work, we may ask authors to provide datasets, replication code, or supporting documentation sufficient to verify the piece’s analysis.

Due to the volume of submissions we receive, we regret that we cannot respond individually to every applicant. Thank you for your interest in DLTR; we look forward to reviewing your submission.

Author Agreement

Authors whose work is accepted for publication will be asked to sign Duke Law’s standard journal author agreement. All articles accepted by DLTR will undergo extensive editing prior to publication. To maintain DLTR’s publication standards, acceptance of an article by DLTR is conditioned on the author’s cooperation during the editorial process.

Why Publish with DLTR

Open Access. DLTR has been fully open access since its founding in 2001: no paywall, no subscription, no login. Upon publication, your work is immediately readable by courts, regulators, practitioners, and scholars anywhere.

Rolling Publication. Because DLTR publishes online on a rolling basis, accepted pieces do not wait in a print queue. Your article can reach readers while the questions it addresses are still live.

The Duke Platform. DLTR is part of Duke Law School’s community of scholars working on law and technology, and our pieces are archived permanently in the Duke Law Scholarship Repository.