As you would expect, we are often asked for references and who else we’re working with when we interact with potential users of IPRally. After all, what we have developed is brand new and very different from what anyone has used before, and while some of us want to be the first to adopt new things, most want the comfort of knowing that others have already implemented the tool and are getting the benefits that we claim to offer. This is human nature, and makes a lot of sense.
While we are working with some very influential clients already, and are greatly appreciative that some of them allow us to use their logo on our website, we have decided to be more proactive in providing deeper insights into how our customers use IPRally, and how they get benefits from adopting Graph AI in different patent processes. Hence, we are very happy to launch a series of case studies and customer testimonials which will be published regularly over the coming months.
To start this off, we were very fortunate to have the opportunity to sit down with Jeremy Kriegel, Partner at Marshall, Gerstein & Borun LLP in Chicago, and learn how IPRally has changed the way this firm’s professionals support their clients. Jeremy is a very experienced patent attorney with many awards, mentions and accolades to his name. Naturally, he is very focused on providing value to his clients in every instance, which among many other things includes finding relevant and useful prior art for different purposes (mainly for prior art/invalidation purposes). This is where IPRally comes into the equation. Jeremy, and his colleagues, have used – and are still using - various traditional patent search tools, and regularly commission searches to external search firms, but they now find that they are able to reduce these activities, or make them a lot more effective and efficient, by utilizing IPRally.
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.”
And this is exactly what IPRally is designed to do as well, to help our clients find the relevant prior art quicker, and to enable them to make better and more informed business decisions. In short, to help them hit the bullseye faster. In addition to the accuracy, and augmenting processes to make things more efficient, Jeremy also highlights time savings as a key benefit of implementing IPRally. He highlights that it’s not just the actual search process that is quicker, but also having the ability to use an intuitive and effective tool that is within arm’s reach reduces the time his clients have to wait for the crucial information.
”We’re getting actionable results the same day, rather than having to wait three, four or seven days for an outside searcher to come back. While a lot of effort is devoted to make the external search reports presentable and pretty, IPRally gives immediate access to the relevant results,” Jeremy explains. ”I’m interested in finding strong references and why they are strong references, and IPRally does a nice job of highlighting why the AI identified the references…. It is just giving me the raw results, which is a lot more meaningful than sifting through 15 pages of reports”, says Jeremy. ”I find that IPRally gives me the freedom to drill down to what I am interested in and I do not have to sift through all of that”.
This highlights another of the benefits that IPRally can bring. Having access to an intuitive tool that will do the job fast and accurately with limited effort, if and when the immediate need to find information appears, allows Marshall IP and all of our law firm customers to make the search and review of patent information an immediate and integrated part of the client interactions. Searching does not have to take hours upon hours. Sometimes it will, and it has to, but not always. Some outsourced searches may also be done in-house, and for larger projects where multiple searches are needed, IPRally can provide a different angle, or even serve as a starting point that can be used to direct the outside search firm.
So, the value IPRally can bring to law firms, and any function that supports their customers and clients (whether internal or external) is clear: It’s about saving substantial amounts of time, making these processes faster, more direct and enabling, getting the benefits of having an unbiased AI to find references that traditional methods may miss and – most importantly - finding the information that enables these clients to make better business decisions.
Jeremy shared much more than this with us, and we welcome you to download and read the full case study here.
To wrap this up, I want to send a big thank you to Jeremy and his team for sharing their experiences and ideas with us. This tells us that we are doing the right things, and guides us in our future development of our solutions.
If you have feedback that you want to share with us, or just want to share how IPRally has helped you, you know where to find us – we are all ears!
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— IPRally Technologies Oy.