by Melissa Richter | Sep 30, 2025 | Events, IP Strategy, IQ Ideas+, Patent Filing & Litigation
Webinar: Cutting USPTO Pendency at the Source – Front-End AI for Faster, Stronger Filings As you have no doubt heard, patent pendency at the United States Patent and Trademark Office (USPTO) is a problem. As of January, the number of unexamined applications reached a...
by Brandon Kelloway | Jul 23, 2025 | Ideation, Evaluation, & Collaboration, Best Practices, Innovation, IP Services, IP Strategy
Businessman to inventor Rick Kellow didn’t start out as a famous inventor. After two decades in the mortgage industry, he found himself inspired—by family movie night, complete with spilled sodas and popcorn everywhere. He thought, “Why isn’t there a plate that...
by Brandon Kelloway | Jul 20, 2025 | IP Strategy, IP Suite, IQ Ideas+, News
From Idea to Impact What’s New in IQ Ideas+ 3.4 and InnovationQ+ 7.3 At IP.com, we continue to evolve our tools to help engineers, inventors, and IP professionals move seamlessly from idea to invention, and from invention to impact. Our latest releases — IQ Ideas+ 3.4...
by Brandon Kelloway | Jul 7, 2025 | Artificial Intelligence, IP Strategy, IP Suite, IQ Ideas+, News
Not all AI is built for legal and IP decision-making’s rigor. An American lawyer made headlines in 2023 for citing fictitious court cases in a court filing—cases that never occurred. The perpetrator: a chat AI that created legal precedents with impressive...
by Brandon Kelloway | Jun 30, 2025 | Ideation, Evaluation, & Collaboration, IP Intelligence, IP Strategy, IP Suite, IQ Ideas+, News
Echoes After Death: The Legal and Moral Debate Around AI-Recreated Voices In a recent and dramatic court trial, a victim’s voice was digitally resurrected using artificial intelligence to give a posthumous victim impact statement. The reconstructed voice—derived...
by Brandon Kelloway | May 20, 2025 | Ideation, Evaluation, & Collaboration, IP Intelligence, IP Strategy, IP Suite, IQ Ideas+, News
Let’s be honest: the future isn’t coming—it’s already here. And most enterprises are still debating how to catch up. While AI-native companies are deploying recursive models that train and improve their own successors, traditional enterprises remain stuck—bogged down...
