​​Contribute to GSLRblog 

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The GSLR Blog is a discourse platform for legal scholarship on contemporary legal and governance issues. We welcome original article submissions that contribute informed analysis to public debate.

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• Eligibility and Scope

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Submissions must address relevant and contemporaneous issues in law or public policy. We do not publish articles by individuals directly involved in the matter in a legal, representative, or advisory capacity (including lawyers, consultants, or employees of interested parties). Authors who have advised parties to the matter, such as by providing expert opinions or participating in proceedings, should contact the editors before submission.

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• Submission Requirements

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Format and Length: Submissions must be 800-1,200 words in Microsoft Word format (.docx). This range is flexible at the editors discretion in exceptional cases.

Anonymization: The manuscript file must not contain author names or institutional affiliations. These details should be provided separately in the submission form or email body.

Form for Submissions: Submissions must be made through this form where the manuscript title and body must not contain any personal information of the author such as name and institution.

Expedited Review: For time-sensitive topics that may lose relevance quickly, authors may request expedited review by adding “Expedited” in their email subject.

Co-authorship: Up to three co-authors are permitted.

Abstract and Keywords: Include a short abstract (up to fifty words) and five keywords describing the article focus.

Author Bio: Provide a brief author biography and institutional affiliation in the email body.

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• Citation Format

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References must be hyperlinked to keywords and phrases in the text. Use footnotes or endnotes only when hyperlinks are unavailable. Citations must follow OSCOLA (4th edition). Be precise in referencing, hyperlink to relevant statutes and judgments, citing specific provisions and dates in brackets.

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• Originality and Quality Control

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All submissions undergo editorial review and may be reviewed by Editorial Board members. Submissions must be original work owned by the author(s). Authors must disclose if the work has been previously published, is under review elsewhere, or is subject to a publication agreement. Do not submit pieces under consideration by other publications.

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• Plagiarism Policy

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Submissions are screened using plagiarism detection software. Plagiarism includes:

1. Verbatim copying without proper attribution

2. Paraphrasing without citation

3. Self-plagiarism from previously published work

4. Improper citation or misattribution

Plagiarized submissions will be rejected immediately. Authors will be barred from future submissions.

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• Artificial Intelligence Policy

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The use of generative AI to create submission content is strictly prohibited. This includes using AI to:

1. Generate text, arguments, or analysis

2. Paraphrase or rewrite content

3. Develop ideas, outlines, or structural elements​

 

Permitted AI uses: grammar checking, spell-checking, citation formatting verification, and language translation (with disclosure).

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All submissions are screened for AI-generated content. Authors must certify that their work has not been generated or substantially assisted by AI beyond permitted uses. Violations result in immediate rejection and potential prohibition from future submissions. The Review reserves the right to request verification of authorship.

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• Conflict of Interest Policy

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Authors with professional involvement in the subject matter must contact editors before submission to ensure compliance with this policy.

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• Publication Terms

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Open Access: All content is published under open access principles; freely available without charge to users, authors, or institutions. Users may read, download, copy, distribute, print, search, or link to articles without prior permission, provided they give appropriate credit.

Licensing: Content is generally published under the Creative Commons CC BY-SA license, requiring attribution and compatible licensing for derivative works unless otherwise indicated.