Background The Trademark Office of Thailand’s Department of Intellectual Property (DIP) is making significant, concrete progress in revising the trademark registrar’s Trademark Examination Manual, with the aim of bringing Thailand’s trademark examination standards into alignment with international standards for trademark examination. This comes on the heels of the DIP’s recent efforts to improve examination standards for patent applications by revising the form for patent office actions to include sufficient reasoning and clarifying details on each instruction (the DIP is also currently working to resolve the lengthy backlog in patent examination and registration by increasing the number of examiners and proposing amendments to patent and design law). New draft manual On 28 January 2021 the DIP unveiled the first draft of the updated Trademark Examination Manual in a webinar attended by trademark lawyers, practitioners and trademark owners. The new draft manual seeks to create increased consistency through the establishment of clear and fair criteria to be used in examining trademark applications. The proposed revisions are based on the study of trademark laws and subordinate legislation, decisions of the Board of Trademarks, judgments from Thailand’s Central Intellectual Property and International Trade Court, and previous problems that have arisen in the course of examination. Key proposals Some of the most interesting draft revisions are summarised below. When determining the distinctiveness of a mark, there are five levels of distinctiveness (from highest to lowest): fanciful, arbitrary, suggestive, descriptive and generic. A mark consisting of geometric shapes or general designs (eg, infinite or repeated textile patterns) will not be registrable. There are clearer criteria for registering marks consisting of the names of individuals, the full names of juristic persons and trade names. In determining whether a mark is a geographical name, the mark will be considered based on the knowledge and perception of Thai