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.

Artificial intelligence (AI) has made its mark on numerous industries, revolutionizing processes that were once labor-intensive, error-prone, and time-consuming. In the realm of intellectual property (IP), AI is becoming an essential tool, with applications ranging from prior art searches to automating patent drafting. Among these breakthroughs, AI patent figure generation is one of the most promising, offering significant improvements in the way technical drawings are created for patent applications.

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Patent figures are a crucial part of the patent filing process, serving as visual representations of inventions. These drawings must be clear, accurate, and compliant with the strict requirements of patent offices around the world. Traditionally, this task required the skills of professional draftsmen or patent illustrators. However, advancements in AI patent figure tools have the potential to streamline this process, reducing time, cost, and errors while improving the overall quality and accessibility of patent drawings.

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This article will explore how AI tools for patent figure drafting work, their benefits, and the key features likely to shape the future of patent figure creation.

The process of patent drafting, from drafting applications to responding to office actions, can be time-consuming and intricate. Fortunately, AI tools have emerged as game-changers for patent professionals, simplifying the process and improving accuracy. In this article, we’ll explore the top AI patent drafting tools for 2024 and highlight key features, benefits, and how these tools are reshaping the patenting landscape.

In recent years, Artificial Intelligence (AI) has begun to play an increasingly important role in various industries, and intellectual property (IP) is no exception. One of the key areas where AI has the potential to make a significant impact is patent claim mapping and analysis, which are critical components of any robust IP strategy. These processes, which traditionally relied on manual efforts, involve identifying and linking patent claims to specific elements within a product or technology. This provides insights into the strengths and weaknesses of a company’s patent portfolio and helps shape future IP strategies. However, manual mapping and analysis are time-consuming, resource-intensive, and prone to errors. The introduction of AI into this domain is not just a technological advancement but could yet provide transformative change that has the potential to revolutionize how patents are managed and leveraged.

As artificial intelligence (AI) becomes increasingly integrated into the legal industry, its potential to transform legal research, document drafting, and decision-making is clear. Generative AI tools, driven by large language models (LLMs), offer significant efficiency gains and new capabilities. However, with these advancements come notable risks, one of the most concerning being AI hallucinations. This article delves into the nature of AI hallucinations, their causes, the specific risks they pose in legal contexts, and strategies to mitigate these risks to ensure that legal AI tools remain reliable and trustworthy.

As AI technology continues to evolve, patent prosecution has seen a transformative shift with the introduction of Generative AI tools. In the context of European patent prosecution, both European patent attorneys and the European Patent Office (EPO) are now either using or considering using AI tools to streamline what has historically been a complex and time-consuming process. Here, we look at the applications of Gen-AI to European prosecution and the benefits it can provide.

Boosting patent drafting efficiency by 40-60%, Scale LLP uses Patent Copilot™ to enhance quality, streamline workflows, and more.

As the legal industry continues to evolve, staying ahead of the curve with the latest advancements in intellectual property (IP), legal technology, and artificial intelligence (AI) is crucial. Attending top-tier conferences not only helps legal professionals stay updated but also provides networking opportunities, insights into future trends, and the chance to meet industry leaders. Whether you're a seasoned attorney, a tech enthusiast, or someone navigating the complexities of IP law, these events are a must-attend in 2024 and 2025.

The United States Patent and Trademark Office (USPTO) has released updated guidance on patent subject matter eligibility. This update focuses on critical and emerging technologies, particularly artificial intelligence (AI). The new guidance aims to assist USPTO personnel and stakeholders in evaluating the subject matter eligibility of claims in patent applications and patents related to AI technology and inventions. Furthermore, it introduces new examples to help apply the USPTO's subject matter eligibility guidance during patent examination, appeal, and post-grant proceedings. The guidance also addresses stakeholder feedback and recent Federal Circuit decisions.

The integration of generative AI into the United States Patent and Trademark Office (USPTO) submission processes is reshaping the landscape of patent and trademark filings. This article provides an overview of all prior guidance from the USPTO on the use of AI and explores the multifaceted role of AI tools in enhancing efficiency, ensuring compliance, and navigating the complex legal and ethical landscapes of patent applications. From drafting patent applications to managing confidentiality and security, legal practitioners must adapt to maintain accuracy, inventorship integrity, and ethical standards in their submissions. Given the numerous practical applications and their benefits, generative AI is becoming an indispensable asset in legal practices, especially in interactions with the USPTO systems.

Stephen Hou, VP & COO of American Patent Agency and long-time customer of Solve Intelligence™, explores the impact of artificial intelligence on patent law, focusing on new regulations for AI patent drafting and AI inventorship across major global patent offices. Stephen describes how jurisdictions in the IP5 (China, Europe, Japan, Korea, and the United States) are updating their guidelines to address the challenges of AI in the patent process, specifically stating that AI cannot be an inventor but highlighting its role in aiding human-driven patentable innovations. This highlights the growing role of artificial intelligence in patent law.

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SSRN article: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4843648

Intel® Ignite announce that Solve Intelligence™ is among the 2024 Intel Ignite companies.

As Artificial Intelligence (AI) and large language models (LLMs) increasingly integrate into legal practices, the U.S. Patent and Trademark Office (USPTO) issued new guidance to assist patent attorneys and the public with its adoption, including the adoption of patent software and AI tools in assisting intellectual property attorneys with the patent drafting process, patent prosecution, and other areas of patent law.