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ECTA Members’ Voice: UK Registered Trade Marks to become searchable on the WIPO Global Brands Database
27/07/2022
Carin Burchell, ECTA International Trade and Publications Committee member, Re Markability Limited, UK

The UK IPO is joining the WIPO Global Brands Database following the signing of a Cooperation Treaty between the UK IPO and WIPO on 18 July 2022.

Around 3 million UK marks will be added to the Global Brands Database making it an even more useful tool for businesses anywhere around the world to check whether a trade mark which they are thinking of using, or a similar trade mark, is already registered.

UK registered marks will be uploaded to the Global Brands Database first – making it less likely that they will be unknowingly infringed.

The freely available Global Brands Database is a vast resource which provides access to more than 50 million records from some 71 national and international collections. It can be searched here at no charge.

The UK IPO’s Chief Executive Tim Moss said of the addition of the records to the Global Brands Database that it “will help businesses grow their brands with confidence. By providing additional protection, it will reassure UK trade mark holders that their mark is less likely to be infringed.” And, further:

“Our partnership with WIPO in areas of common interest ensures that the IP framework remains fit for the future. The UK has one of the most highly regarded IP environments in the world, and joining the database is a practical step that will help keep it that way.”

WIPO Director General Daren Tang said: “We are delighted with the inclusion of the UK trade marks collection in WIPO’s Global Brand Database. This is a significant step for users the world over and greatly enhances the value of the database, especially for companies seeking to file a new trade mark application in multiple countries.”

Interestingly from an AI perspective, Daren Tang also said: “The new agreement also paves the way for greater technical collaboration between our offices, including the use of machine learning to improve the efficiency of IP-related procedures.”

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The views expressed are those of our members and not necessarily of ECTA as an association. The content has not been subjected to a verification process, the accuracy of the information contained in the article is responsibility of the author.

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