One of the major challenges when licensing, transacting, or managing SEPs is that there is no public database that provides information about verified Standard Essential Patents (SEPs). Standard-setting organizations (“SSOs”) such as ETSI (4G / 5G), IEEE (Wi-Fi), or ITUT (HEVC/VVC) maintain databases of so-called self-declared patents to document the FRAND obligation. However, the SSOs do not determine whether any of the declared patents are essential, nor are the declarants required to provide any proof or updates. As a result, in course of licensing negotiations, patent acquisitions, or litigation, the question about which patents are essential and which are not, is one of the most debated when negotiating SEP portfolio value, royalties, or infringement claims. AI solutions support the process of understanding how patent claims relate to standards to assess larger SEP portfolios without spending weeks and months and significant dollars on manual reviews by technical experts and counsel. In a recent IPWatchdog webinar Gene Quinn, President & CEO of IPWatchdog, Inc., moderated a special 90-minute wide-ranging conversation about how to make use of AI-based assessment when managing, licensing, transacting, or litigating SEPs. Among the panel speakers were Mang Zhu, Chief IP Strategy Officer at ZTE, David Yurkerwich, Senior Managing Director at Ankura, David Barkan, Litigation Principal at Fish & Richardson as well as Daniel Weinger, a Member at Mintz, and Tim Pohlmann, CEO of IPlytics.
Download the webinar slides, that include a link to the webinar recording, as well as the results of the following live poll questions:
- Do you think that AI based patent essentiality algorithms can support SEP essentiality determination as an additional data point?
- Do you think that AI based algorithms will be more objective compared to subject matter experts valuation?
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