Trademarks and artificial intelligence: a revolution in search
The Importance of Search
Search is essentially “due diligence” for your designation in the specified territory.
It is an analysis that evaluates the status in the stamp registers in the chosen territory and finds out, whether a similar or identical trade mark does not existwhether it would filing your mark for trademark registration may have resulted in a conflict with earlier rights, or whether your sign is not descriptive/generic/praiseworthy or otherwise unfit to become a trademark.
Without a search, you run the risk of:
- you invest in a label that someone already uses
- you will face a legal dispute for violation of the rights of another entity,
- the registration of the sign as a trade mark will be refused by the registration office,
- You will lose the cost of marketing, design and legal services.
Case from practice: When the name decides
Let's imagine a Slovak startup developing a financial management application called Finovo. Before submitting an application to the Industrial Property Office (ÚPV SR), a search is made through an AI tool. The system will warn that a similar brand already exists in Germany Finovafor financial services.
Without AI, the firm might not have noticed, filed an application and faced later Objectionswhether Prohibition of the use of the brand. However, thanks to a timely search, he is able to decide on an alternative name, saving both money and reputation.
In our office, we believe that The story of every successful trademark does not begin with a slogan or logo — but with a high-quality professional search. Therefore, we often tell our clients: “before you start building a brand, make sure the road is clear”.
How to recognize a qualitatively performed professional search
A well-executed search is not just about “looking for something” in the trademark database. It is strategic analysiswhich requires not only technical skills (effective search tool), but also understanding the context, in which the label/tag worksor is intended to function.
The basis is Good knowledge of the segment being searched— understanding, what business activities the entity engages inwhat products it produces, or what services it provides. This knowledge must then be transformed into a “search language”, which is the classes of goods and services according to the Nice Classification of Goods and Services for the purposes of trademark registration — International Classification - NCL (12-2025).
It is also necessary a good knowledge of the territory (s) in which the sign is to be used.
Only one who understands the business environment of the client and the real nature of the protection of the mark can correctly determine, What is the real risk of collisionand which is only a distant similarity without real legal significance.
Quality search therefore connects data, legal interpretation and business context— only then it is possible to talk about a result that can be relied on.
Common myths when searching
Even in the practice of our office, we often encounter various Myths and False ExpectationsWhat clients have in terms of searches:
- Global Protection and Global Search: Many clients think that it is possible to provide the so-called “global protection” with a trademark, which is why it is necessary to redesign the label on a global level. In reality, this is practically impossible, both because of the technical limitations of the search tools and, secondly, from the point of view of the very scope of protection — the trade mark always applies only to selected territories. We will disappoint clients slightly in this regard — Global trademark and global search are a myth rather than a reality.
- Protection for all goods and services: Another common myth is that it is possible to protect the brand for all possible goods and services. Similarly, in this case, it is an unrealistic expectation. Realistically, it is necessary to define the specific searched classes according to the type of goods or services.
These myths show that a quality search must take into account the reality of the scope of protection with regard to the territory searched and the classes of goods and servicesso that the client receives real, actionable recommendations and is not disappointed by unrealistic expectations.
Quality searches as a common problem
Quite often, we are approached by clients who got into trouble precisely because of poor quality search— whether due to incorrect risk assessment, superficial analysis, insufficient knowledge of searchers and the use of an insufficiently reliable search tool.
In practice, it often happens that Clients do their own research!— e.g. via internet search engines or publicly available stamp databases. At first glance, it seems to them that everything is fine, but after filing a trademark application, they are often quite surprised. The Office will reject their application or — worse — the proprietor of the earlier trade mark will contact them with an appeal for withdrawal of the mark or compensation for damages.
These situations show that the search is not just a technical formality, but an expert step with a direct legal and business impact. Therefore, the investment in quality search returns many times over — especially compared to the costs that a legal dispute or rebranding would entail.
Classic searches: manual labor and a lot of time
Traditionally, searches were done manually. The lawyer or searcher browsed the databases of the registry offices as EUIPO, WIPO, USPTO or national registries, searched for possible collisions by keywords and compared the results.
Such a search lasted hours to daysand even with maximum attention, there was a risk that something would escape. The human eye is simply not built to search tens of thousands of records.
And then came AI
The advent of artificial intelligence has also changed this segment of legal practice. Modern AI systems can analyze a huge amount of data from trademark registries, the Internet, domains or social networks.
Instead of simply searching by word, they know:
- compare phonetic variationsand identify when words are pronounced the same, even if they are spelled differently,
- Analyze visual similaritylog through computer vision algorithms — while a human can visually compare only a few dozen logs, AI can handle thousands. Algorithms analyze shape, color, symmetry and iconographic elements. Convolutional neural networks (CNNs) - can find similar logos even when they are visually modified - for example, a changed color, a different font, or a simplified shape - a huge shift from the old search engine based only on the codes of the Vienna Classification of Image Elements.
- Understand the context—e.g. that Apple can be a technology brand, but also a common term for fruit, and therefore the product class and the relevant industry need to be assessed,
- predict the risk of collision— not only to search for it, but also to assess the likelihood of a dispute.
The result is a search that can be done within minutesand with the precision that one would achieve only with great effort.
Combining AI and the human factor: the best strategy
So AI speeds up work, but does not replace the experience of an expert! Search, even if automated, must always be supplemented by The Human Interpretation — taking into account the business environment, cultural differences, linguistic specificities, while the expert is always the one who must evaluate, whether similarity is found — potential conflict legally relevant.
Although the algorithm will tell you that “Quickli” and “Kwikli” are similar, but, for example:
- is not aware of certain particularities of the case-law on the assessment of the interchangeability of trade marks,
- cannot assess what it means that the potentially interchangeable older trade mark found has a good name (reputation),
- is unable to take into account and evaluate the criterion of the obligation to use an earlier trade mark,
- does not estimate the commercial significance of the designation in a particular segment.
In other words, AI will provide data and analysis, but Interpretation and legal conclusionsstill does man.
Therefore, a properly set process looks like this:
- AI will perform a searchand prepare a list of risks.
- The lawyer will evaluate the resultsThis will add to the legal context.
- The client receives a clear recommendation— register, modify, or search for another designation.
How the work of lawyers is changing
AI is not only changing the technical aspects of searches, but role of searchers in the whole process.
While once their value lay in the ability to “find” information, today it is the ability to interpret, filter and strategically use this information.
So AI does not take the work, but takes it to a higher level. The searcher becomes an analyst and an advisor — not a collision finder, but a creator of the context and strategy to protect the mark/label as effectively as possible.
Where AI is not enough: limits and risks
AI search tools are great, but you need to know What we can count on and what we can't.
Not all trademark databases — relevant trade mark registers — are complex. Some systems may not contain the latest trademark applications or updates, and therefore some collision or risk may remain hidden.
In addition, AI itself is not a legal authority!
Therefore, it is not reasonable to rely solely on the resultsof AI searches without verification by a specialist.
Research in our office — expertise meets technology
We strive to provide clients High quality and professional searchthat connects expert knowledge of lawyerswith the use of sophisticated search engine based on artificial intelligence.
For clients — from entrepreneurs and startups to branding and naming studios — we offer Multiple types of searchesto meet different needs and budgets.
From Simple basic searchesto quickly check for potential risks, up to complex detailed searches, which also contain other useful information (e.g. older business names, registered domains, profiles on third-party social networks, which may also pose a potential conflict for the searched term).
We also implement the so-called. bulk searcheswhich are especially suitable for naming/branding studios ideal for clients who need to verify a large number of labels at a time.
This approach allows clients Obtain clear and strategically valuable information, on the basis of which they can safely decide on their brand and minimize the risks of disputes or rejection of the application.
Artificial intelligence is not enough. Expertise is irreplaceable.
Trademark searches are no longer just about finding similar names. They are about data analysis, understanding of language, visuals and context.
Artificial intelligence is changing this process — making it faster, more accessible and more accurate.
But the most important thing remains: AI is a tool, not a referee.
The one who understands the legal framework, the needs of the client and the value of the brand is still a person.
However, when combined with modern technology, we can achieve what was once impossible — fast, precise and strategic brand protection since its inception.