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As artificial intelligence (AI) becomes more integrated into professional workflows, the need for transparency in AI-assisted tasks is increasingly important. One key area where this applies is the patent industry, where accuracy and traceability are critical. To support this, we are introducing a new feature: AI Track Changes, designed to provide clear insights into how AI-generated suggestions and edits are being made to your patent applications, Office action responses, and other patent documents.

A recent T-decision of the Boards of Appeal (T 1741/22) has provided an interesting deviation in how the EPO assesses the requirement of inventive step, from both a previous decision (T 2681/16) and the EPO Guidelines for Examination.

Artificial intelligence (AI) is already having a substantial impact in the practice of Intellectual Property (IP) Law, with platforms such as Solve Intelligence's Patent Copilot assisting attorneys in drafting and prosecuting patent applications. These AI platforms can help patent attorneys realise efficiency gains and help to provide high-quality patents. 

Until earlier this year, the use of AI was largely unregulated across the world. Now, the picture has somewhat changed, with different countries implementing different strategies when it comes to regulating AI, to promote safety but also to remain competitive. Earlier this year, the Artificial Intelligence Act entered into force in the EU, becoming the world's first comprehensive regulation for AI. In this article we have a look at the obligations that the EU AI Act puts on AI technology providers, such as providers of AI patent drafting and prosecution tools.

In recent years, there has been a substantial increase in the filing of patent applications relating to AI-inventions at the EPO. In response to this, the EPO has started and continues to develop a framework for assessing the eligibility and patentability of AI inventions, with the introduction of new guidelines and evolving case law. This article outlines key considerations, common pitfalls, and best practices for drafting patent applications directed to AI inventions at the EPO.

The rapid rise of generative artificial intelligence (AI) is reshaping numerous industries, including the legal profession. For U.S. lawyers, AI tools offer tremendous potential to improve efficiency, accuracy, and speed in completing routine and complex tasks alike. However, alongside the benefits of these powerful tools come ethical considerations. This article explores these ethical challenges in detail, particularly in light of the American Bar Association’s (ABA) recent Formal Opinion 512, which provides guidance for the ethical use of generative AI in legal practice.

The field of intellectual property (IP) is constantly evolving, as businesses and innovators look for more efficient ways to manage and protect their ideas. As IP portfolios grow, the traditional methods of managing patents, trademarks, and copyrights can become increasingly time-consuming, resource-heavy, and prone to error. To keep up with the fast pace of innovation, IP professionals are now turning to artificial intelligence (AI) to streamline processes and deliver better outcomes.

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