Blog
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Attention Is All You Need: Prior Art in the Age of AI
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.
4 Steps to Ensure Data Confidentiality when using AI for Patent Application Drafting
Protect confidential patent data when using AI. Follow 4 essential steps to ensure security, compliance, and safe data use.
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8 Critical Patent Application Mistakes That Can Cost You Protection
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.

EPO to Use AI Tools for Minuting Oral Proceedings
The European Patent Office (EPO) has announced a pilot project to implement artificial intelligence tools to assist in the preparation of minutes during oral proceedings conducted by videoconference. This development represents a notable evolution in the EPO's approach to procedural documentation, but aligns with the recent trend of increasing AI adoption by the EPO generally.
Solve Intelligence Raises $12M Series A to Build AI for Patents
Solve Intelligence raises $12M Series A to scale its AI-for-patents platform with backing from Microsoft (via M12), Thomson Reuters (via TRV), & 20VC.

How AI Patent Drafting Software Streamlines Intellectual Property Protection
AI patent drafting software is transforming intellectual property protection by significantly accelerating the drafting process, improving consistency, and freeing up attorneys to focus on strategic aspects like claim coverage. These tools can generate high-quality initial drafts in minutes, ensure uniform language across documents, and reduce human error. While AI boosts efficiency, expert review remains essential to ensure technical accuracy and strategic alignment, and strong confidentiality protocols are key when integrating AI into legal workflows.

