Comparative Study of Using Artificial Intelligence in Substantive Process of Trademarks Registeration

Document Type : Original Article

Authors

1 PHD student in private law of Farabi faculty of Tehran university

2 associate professor of Farabi faculty of Tehran university

10.22091/diplic.2026.14374.1031

Abstract

Artificial intelligence is a system that, through algorithms and neural networks,
possesses the capacity for deep learning and generalization. In this technology,
machine‑learning algorithms are trained and developed rapidly and with precision
on the basis of the information and data they receive. Through this process, artificial
intelligence is able to engage in deep learning and perform evaluative functions.
Given the capabilities of artificial intelligence and the current structure of trademark
registration procedures, an important question arises: how can this technology be
utilized within the trademark registration process? This study seeks to examine this
issue using an explanatory‑analytical and library‑based research method. By
surveying the approaches adopted in various jurisdictions, we analyze how artificial
intelligence has been incorporated into the substantive examination phase of
trademark registration. Our preliminary findings indicate that such systems can be
employed effectively for image searches, the detection of similarities between
marks, and the absolute and relative assessment of trademark applications.
Key Words: Artificial Intelligence, Industrial Property, Trademark, Trademark
Application, Trademark Similarity Detection

Keywords

Main Subjects

Insights of Intellectual Property Law in Islamic Countries
Volume 1, Issue 4 - Serial Number 4
December 2025
Pages 23-41

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