We know that when it comes to search services you need accuracy and a partner you can trust - empowering you to make critical IP decisions with confidence. That's why here at CPA Global we have built a global patent and technical literature search capability that allows us to go further and dig deeper than other search providers.
Our research specialists include 250+ in-house experts with backgrounds ranging from patent agents and attorneys to former patent examiners and engineers and scientists.
They use their extensive expertise in specific technologies, patent law, and research theory to deliver the precise results you need. Our team leverages more than 300 patent and non-patent print and online literature sources like journals, academic papers, product manuals and message boards, leaving no stone unturned in their search for evidence. Whatever technology domain you want to explore, rest assured that with the breadth and diversity of our dedicated team, we’ve got it covered.
Our combination of skills and in-depth understanding of both patent and non-patent resources ensures that we make every minute count on your search projects. If the proof you seek is out there, our team will find it.
Efficient, expert novelty/patentability searches locate prior art early in your innovation journey to fully inform filing decisions and drafting strategy, resulting in savings in both time and prosecution costs.
FREEDOM TO OPERATE
Freedom to operate searches guide your “design around” efforts early in the product lifecycle and support last minute design changes or licensing efforts closer to product rollout.
Expert invalidity searches provide proof you need in high-stakes situations, whether you’re the defendant in a lawsuit, performing due diligence, or using post-grant procedures to clear the competitive playing field.
Our experts discuss the importance of Patent Search in modern businesses.
Artificial Intelligence and machine learning in the future of IP
Within the IP industry, Artificial Intelligence (AI) and Machine Learning (ML) ...
February 16, 2018Read