"For decades, inventors, practitioners, and researchers alike have faced the same tradeoff. Free tools surface only the most obvious references, missing decisive prior art. Professional platforms offer depth, but require significant training and demand five-figure subscriptions. The patent system promises to promote innovation by making knowledge accessible. But to fully realize this vision, patent knowledge must be available on tap to everyone who needs it, in whichever form best serves each individual user."
"Today's AI technology has unlocked the possibility of universal access to professional-grade patent intelligence. AI systems are transforming knowledge industries by accelerating complex, human-directed analyses with AI models. However, preexisting AI systems aren't optimized for the unique needs of patent users and the bespoke nature of patent documents and datasets. Without tight integration between frontier AI intelligence and the patent domain, today's AI falls short in serving the patent community."
"This status quo is now changing thanks to new agentic research techniques pioneered by America's leading AI companies. Agentic research systems decompose a user's queries into discrete information retrieval and synthesis workflows. The results of these workflows are then used to guide the AI system's own further exploration, ultimately leading to the formulation of an answer supported by a traceable research record and authoritative source documents."
For decades, inventors, practitioners, and researchers have faced a tradeoff between free patent tools that surface only obvious references and professional platforms that offer depth but cost and require training. The patent system aims to promote innovation by making knowledge accessible, and patent knowledge must be available on tap in forms that serve individual users. Today's AI can enable universal access to professional-grade patent intelligence by accelerating complex, human-directed analyses. Preexisting AI systems are not optimized for patent users or the bespoke nature of patent documents and datasets. Agentic research techniques decompose queries into retrieval and synthesis workflows, guide exploration, and produce traceable answers supported by authoritative sources.
Read at IPWatchdog.com | Patents & Intellectual Property Law
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