Validity/Invalidity Searches: Determining Patent Strength and Enforceability
Think of a validity search (or invalidity/opposition search) as a way to check if a patent is truly solid. It’s like a stress test, seeing if it would hold up in court if someone challenges it.
There are lots of reasons to do this. Maybe you’re thinking about buying a patent and want to make sure it’s a good investment. Or, perhaps there’s a patent blocking your own progress, and you want to know if it’s even valid. Maybe you’ve been accused of infringement yourself and need to defend your position.
In any case, doing a validity search gives you an edge. It’s like knowing the strengths and weaknesses of your opponent before a big game. It helps you make informed decisions and stay ahead of the competition.
Our 24sevenIP Patent Analysts are the pros when it comes to invalidity and validity searches. We’ve got the technical chops and know-how to dig deep into the right databases and tools. These searches need experts who’ve been around the block, understand patent law inside and out, and can break down complex technical info.
Our Methodology for a Patent Validity/ Invalidity Search:
At 24sevenIP Patent Art, we don’t do things the ordinary way when it comes to invalidation searches. We combine the power of human expertise with cutting-edge Deep Web and AI/ML tools to dig deeper than ever before.
Invalidity and validity searches are all about finding that hidden prior art – the stuff patent examiners missed during the usual search process. To uncover these gems, we leave no stone unturned, scouring through patents, scientific papers, product specs, and anything else out there in the public domain.
The typical way to do this involves searching by keywords, classifications, author/inventor names, and citations. This standard method, when done thoroughly across all available sources, usually turns up a bunch of references.
To uncover the strongest evidence, we explore a diverse range of sources, including patents, scientific publications, product details, and any other publicly accessible information.
- The initial phase involves a meticulous analysis of preliminary search results, harnessing the searcher’s expertise to identify specific areas with potential for further exploration.
- The subsequent stage entails a more profound exploration of the identified information pockets. However, numerous unindexed or concealed pages hinder conventional search engines from accessing all relevant data. At this juncture, the utilization of AI/ML and deep-web solutions proves highly advantageous, as they excel at retrieving virtually all necessary information, even from unindexed or hidden sources.