Blog
Patent Drafting at the EPO - AI-related Inventions
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.
Ethical Considerations of Using AI Tools for U.S. Lawyers
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.
5 Benefits of Integrating AI in Your IP 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.
How to Leverage Your Patent Prosecution Work with AI
The world of patent prosecution is undergoing a transformative shift, with artificial intelligence (AI) becoming a key player in streamlining and enhancing the prosecution process. Patent professionals—attorneys, agents, and paralegals—can leverage AI to improve efficiency, accuracy, and overall productivity. In this article, we’ll explore the role of AI in patent prosecution, how AI-assisted workflows can boost efficiency, and the challenges and ethical considerations that come with adopting AI solutions in this space.
Top 10 Tools Patent Attorneys Use for Efficiency in 2024
The legal landscape is changing rapidly with advancements in artificial intelligence (AI), and patent law is no exception. As patent attorneys manage complex processes such as drafting, filing, and litigation, AI tools are emerging as critical resources to boost efficiency, accuracy, and strategic decision-making. AI tools for patent drafting, patent searches, and legal analytics can streamline workflows, helping attorneys focus on the more strategic aspects of their work. In this article, we’ll explore how AI is transforming the patent law industry, the key areas of impact, and the top AI tools patent attorneys are using today.
How Patent Outsourcing Can Streamline Your Firm's Operations
In today’s fast-paced environment, law firms and businesses are under increasing pressure to keep up with the growing demands of intellectual property (IP) management. Filing patent applications and performing related IP work can be very time-sensitive, with attorneys often expected to turn around work at the last minute to meet deadlines relating to product-releases or entries to the market from competitors, for example. It can be very difficult to predict future workflow, and managing all aspects in-house can be costly and inefficient. This is where patent outsourcing comes in as a valuable solution to help streamline operations. By outsourcing patent work, firms can focus on their core competencies while benefiting from external expertise and cost savings.
Insights from the 2023 Robot Patent Drafting Conference: The Future of AI in Patent Law
Key insights from the 2023 Robot Patent Drafting Conference emphasize the importance of confidentiality in AI integration, the necessity for adaptable AI approaches, and acknowledge a notable 5x efficiency increase over the last 18 months, indicating a pragmatic shift in AI-driven patent law.