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Recent developments in artificial intelligence have significantly simplified once complex tasks for patent professionals. One area that has recently seen a significant leap is patent figure generation, moving beyond simply analyzing drawings and figures to full generation capabilities, intelligent labeling, visual refinement, and rule-based output validation. These tools are evolving quickly to meet the increasing demands for patent professionals, allowing them to be more accurate and provide more compliant visual documentation of inventions quickly and easily.

For patent attorneys, in-house counsel, and R&D teams, a well-timed novelty or prior art search is one of the most effective ways to validate inventive output and mitigate risk early in the patenting process. It also forms the foundation of a broader patentability assessment, offering critical insight into the state of the art and supporting informed decisions about whether and how to pursue patent protection.

This article outlines the strategic function of a novelty search, optimal timing, best-practice methods, and how they relate to commercial IP objectives.

As AI-generated content floods the digital landscape, how should we rethink prior art in patent law? In this deep dive, Andrew Zhang and Stephen Hou explore the USPTO’s recent questions on the impact of AI, the evolving knowledge of a person having ordinary skill in the art, and whether we should consider a new legal standard for prior art eligibility and assessment.

Protect confidential patent data when using AI. Follow 4 essential steps to ensure security, compliance, and safe data use.

Learn how to avoid 8 common mistakes companies make when filing a patent application. This article highlights critical pitfalls that can jeopardize your IP protection and offers practical tips and tools.