In almost all cases, yes. Uploading a published article to Keenious works much like uploading it to a private cloud service such as Google Drive or OneDrive: the document stays private to you, and the analysis is automated. The exceptions come from publisher licensing terms, not from how Keenious handles your document.

• Keenious never uses your documents to train its models or the models of its providers
• Your documents are not shared with or distributed to anyone else
• Documents are processed within the European Union.

For more detail, see our Privacy Policy.

Whether uploading a specific non-Open Access article complies with copyright depends on the licensing agreement you or your institution have with that article's publisher. Some publishers include terms in their digital licenses that restrict the use of automated tools on their content. Because that agreement is between you (or your institution) and the publisher, Keenious cannot make the determination on your behalf.

Many academic institutions have evaluated how Keenious handles documents. Several partner universities have established guidelines stating that because Keenious does not share or train on documents, and because Data Processing Agreements (DPAs) are in place, their researchers and students can use Keenious with published research papers.

If you use Keenious through an institutional subscription, your library or IT department has typically already reviewed our Data Processing Agreement. If you are in doubt about a specific document, check your institution's AI and data privacy guidelines, or ask your library.