Jeremy and the team were using a mix of creative and traditional methods when conducting his searches, mostly based on keyword, classification and citation searching combined with analysis and iterations until the desired results were found. This is a common and effective way of searching, regardless of whether the search is for state of the art, patentability or invalidity purposes. He compares this strategy to throwing darts at a dart board, and says that there are only so many darts in the quiver. When he and the team were out of darts, he usually got more hits than misses. But the process wasn’t as cogent as an AI solution like IPRally:
“What intrgued me by the IPRally approach was that it was promised to be intuitive, that the results would be easy to digest and that the results would be better. And on all those three promises, IPRally delivered. I would say that our hits are a lot closer to the bullseye more often than not. So when iteratively going back and searching based on those closer-to-the-bullseye references, my clients have found that we are unearthing really strong prior art that puts them in a better position to make their business decisions. And that is what we are here to do.”
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