
Patenting mathematics-based inventions: Navigating sufficiency and the inventive step squeeze
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Barry Moore

Following my recent presentation at the EPO's Search and Examination Matters 2026 conference, this updated briefing reflects the latest developments, statistical trends, and the specific challenges and opportunities presented by AI-enhanced GUIs.
A year ago, in March 2025, I provided an overview of the requirements for patenting Graphical User Interfaces (GUIs) at the European Patent Office (EPO).
Since then, the landscape has continued to evolve, particularly with the rapid integration of Artificial Intelligence (AI).
While the fundamental principles of assessing inventive step remain consistent, the growing role of AI demands a more nuanced approach to demonstrating a technical contribution.
The core of the EPO's assessment for GUI-related inventions has not changed. The consistent application of the problem-solution approach means that patentability still hinges on two fundamental questions:
As established in landmark case law, such as COMVIK (T 0641/00), features of an invention are assessed by whether they contribute to solving a technical problem. For GUIs, this means distinguishing between features that offer genuine technical innovation and those that are purely decorative, subjective, or relate to non-technical business methods. The main hurdle remains demonstrating an inventive step under Art 56 EPC.
Innovations like predictive text input or gesture recognition that allow for faster, more accurate input or reduce the device's processing load are considered technical.
The central question now facing applicants is: Does the incorporation of AI really change anything? The answer is yes, but only if the AI's contribution is correctly framed.
The AI model itself is typically viewed as a non-technical mathematical method. Therefore, the technical contribution must come from its specific application to solve a technical problem via the GUI. Simply using AI to enhance user experience in a subjective way—for instance, to arrange icons or change colours based on predicted user preferences—will not be considered a technical contribution.
However, if the AI is used to improve the internal functioning of the computer or to control a technical process, it can form the basis for an inventive step. A clear example is an AI system that analyses user interaction to predict and pre-render data, thereby reducing CPU usage and latency. This is a tangible technical effect on the system's performance.
Based on the EPO's approach, applicants seeking to patent AI-enhanced GUIs should focus on the following key principles:
To illustrate these principles, consider these examples:
A method where a trained neural network identifies semantically related images from a database. It then generates low-resolution thumbnails and arranges them in a grid based on a dimensionality reduction of their feature vectors, clustering similar images together. This actively guides the user, facilitating a more intuitive and efficient browsing experience, which is a technical solution to the problem of retrieving images from a large database (inspired by T 0643/00).
A system where a user indicates a target object on a real-time video feed. A convolutional neural network (CNN) determines the object's 3D coordinates, and a reinforcement learning model generates a collision-free trajectory for the robotic arm. Here, the AI and GUI are directly controlling a physical object, which is a clear technical application.
A method where a user selects a region of interest on a medical image. A generative adversarial network (GAN) processes this region to generate a synthetic image highlighting potential anomalies not readily visible to the human eye. This provides a clear technical contribution by revealing hidden information, credibly assisting a medical professional in the technical task of diagnosis.
The latest data reveals clear trends in this space:
Both publication and grant numbers for general GUI cases have seen a steady increase, with over 1,700 applications published and nearly 1,000 granted in 2025 alone.


While the numbers are smaller, the growth is significant. Published applications for GUIs involving AI have quadrupled from 2019 to 2025. Grant numbers have also risen sharply, indicating the EPO is awarding patents in this area when the criteria are met.


The path to grant is not easy. Data shows that when an examining division refuses an application, the appeal is rejected in over 80% of cases. This stark figure underscores the importance of drafting a robust patent application that clearly demonstrates a technical contribution from the outset.
Patenting GUIs at the EPO, especially those enhanced with AI, requires a strategic focus on demonstrating a clear and credible technical contribution. While the core legal framework is unchanged, the burden is on the applicant to show that the invention, assessed as a whole, is more than just a clever algorithm or an attractive interface.
When drafting claims, applicants should:
Do:
Avoid:
By carefully defining the technical purpose and implementation, and by linking the invention to a technical system or process, applicants can significantly increase their chances of securing a patent for their innovative GUIs in Europe.
If you would like some more information about how to obtain patents for graphical user interfaces specifically, or any aspect of computer-implemented inventions, please contact our team.
Meet the author

About Barry Moore

Murgitroyd is a leading intellectual property firm supporting innovative businesses across a wide range of sectors. From patents and trade marks to designs, copyright, and IP strategy, their expertise extends beyond legal protection to helping organisations maximise the value of their ideas. Working across industries such as life sciences, engineering, technology, and creative sectors, Murgitroyd combines technical insight with commercial understanding to deliver tailored, forward-thinking solutions.