The TM Classification AI is trained on the Nice classification. The AI tries to provide relevant classes. Detailed queries retrieve more customized answers.

The Intricacies of Trademark Classification

A. Understanding Trademark Classification

Trademark classification is a system that organizes trademarks into different categories based on the type of goods or services they represent. Created to streamline the trademark registration process, this system prevents confusion, fosters clear communication, and promotes fairness in the marketplace.

Currently, there are 45 classes in total—34 for goods and 11 for services, guided by the Nice Classification, an international system of classifying goods and services for the purposes of registering trademarks.

For example, Class 25 pertains to clothing, footwear, and headwear. If you’re starting a clothing line, your trademark would likely fall into this category. On the other hand, if you own a restaurant or café, your trademark would be classified under Class 43, which covers services providing food and drink.

B. The Significance of Accurate Trademark Classification

The importance of accurate trademark classification cannot be overstated. As a business owner, getting your trademark classified in the appropriate class is crucial for two main reasons.

  1. Firstly, accurate classification ensures you have exclusive rights to use your trademark within your specific category of goods or services. For example, if your trademark is registered under Class 25 (clothing), another company cannot use your trademark, or a confusingly similar one, for their clothing line.
  2. Secondly, misclassifying your trademark can lead to costly legal disputes and potential rebranding. Imagine spending resources on promoting your brand, only to discover that you’ve infringed on another company’s trademark because of an incorrect classification.

Remember, the onus is on you to correctly classify your trademarks during registration. This task can be daunting, given the wide array of classes and the need to choose the most accurate class(es) for your products or services. But fear not, because help is on the horizon in the form of cutting-edge Artificial Intelligence (AI) tools like the Dynolex’s TM Classification AI, set to revolutionize the way we approach trademark classification.

The Conventional Approach to Trademark Classification

A. Traditional Methods of Classification

Before the dawn of artificial intelligence, trademark classification was an entirely manual process. Trademark lawyers, would have to sift through Nice classification or lengthy descriptions of goods and services in trademark applications to determine the appropriate classes. This process was grounded in not only a deep understanding of the Nice Classification system but also years of experience and specialized legal knowledge.

Such traditional methods of classification have their merits. After all, humans can understand the nuances of language and the subtleties of different industries that automated systems might overlook. However, as you might imagine, this manual approach is not without its drawbacks.

B. Challenges in Traditional Classification

First off, the process of manual classification is labour-intensive and time-consuming. With the increasing volume of trademark applications, manually classifying them has become quite the herculean task.

Furthermore, despite best efforts, human error can creep in. It’s easy to misinterpret descriptions, miss relevant details, or simply make mistakes. The implications of these errors are serious, ranging from incorrect classification and possible infringement issues to substantial delays in trademark registration.

And then there’s the issue of consistency. Different lawyers may interpret descriptions differently, leading to inconsistencies in classification. This inconsistency, while unintentional, could lead to unfair competition if similar trademarks are classified differently.

All of these challenges underscore the need for a more efficient, accurate, and consistent system of trademark classification—a need that AI is well-equipped to fulfill.

The Advent of AI in Trademark Classification

A. Introduction to AI in Trademark Classification

Artificial intelligence is becoming increasingly pervasive across industries, and the legal field is no exception. In the context of trademark classification, AI refers to sophisticated algorithms and machine learning models designed to automate and streamline the classification process.

The advent of AI in trademark classification can be traced back to growing challenges with manual classification. As more businesses saw the value in trademarking their goods and services, the demand for a more efficient classification system became evident.

B. How AI Simplifies Trademark Classification

AI simplifies the process of trademark classification in a number of ways.

Firstly, it automates the process of sifting through many official trademark resources. AI systems can process large volumes of data at a speed that simply cannot be matched by human capabilities.

Moreover, AI systems are trained to identify relevant details in the descriptions of goods and services, allowing for more accurate classification. These systems can be programmed to learn from past classifications, improving their accuracy over time.

Perhaps most importantly, AI ensures consistency in classification. By applying the same algorithm to all applications, it removes the risk of different interpretations that come with manual classification.

While AI does not replace the need for skilled trademark lawyers, it certainly enhances the ability to provide accurate, efficient, and consistent trademark classification.

Using AI Tools for Product or Service Description Writing

A. The Importance of Accurate Descriptions

When it comes to trademark classification, it’s not just the correct category that matters, but also the accuracy of your product or service descriptions. These descriptions play a vital role in determining the scope of your trademark protection. Vague or inaccurate descriptions can lead to misclassification, potential infringement issues, or even rejection of your application.

Imagine a scenario where your business deals with artisanal chocolate production, but your product description merely states “chocolate.” Such a broad description might lead to your trademark falling under a class associated with mass-produced chocolate, thus failing to protect the uniqueness of your products.

B. How AI Assists in Writing Product or Service Descriptions

Here’s where AI shows its versatility. AI tools can assist you in crafting clear, concise, and accurate product or service descriptions. These tools use natural language processing (NLP), a branch of AI that helps computers understand, interpret, and manipulate human language.

By analyzing your input, AI tools can suggest more precise descriptors for your goods or services, ensuring that they align with the classification system. For instance, using our previous example, an AI tool could suggest a description like “artisanal chocolate-making services,” which more accurately represents your business and can help secure the right trademark protection.


AI has the potential to transform the process of trademark classification. From increasing efficiency and accuracy to ensuring consistency, AI tools can help businesses navigate the complexities of trademark classification with greater ease. With Dynolex’s TM Classification AI, we hope all the trademark professionals will find a great tool to quickly identify relevant classes, write good product or service descriptions.

Disclaimer: The Trademark Classification AI assistant is a product in beta. Some mistakes are bound to happen. Please verify details before using it for any purpose.