How Data-driven Modeling Lets You Cut With a Scalpel
Securing a patent in 2021 is a tough job. Courts continue to ask for more disclosure and better claims, and that’s when they aren’t moving the goal posts on patent practitioners. Meanwhile, clients demand flat fee billing and want to pay less every year.
But what if there were a way for you to work with clients to show them how they could judiciously cut prosecution costs? Thanks to big data analytics, information exists that allows those willing to look to identify and address issues before they become problems. Thus, offering the ability to save money and get through the prosecution process faster and cheaper, which allows those funds to be spent elsewhere.
Learn more about the marrying of IP cost flows with rejection data for insights that facilitate prosecution costs savings. Shayne Phillips, Director of Analytics Solutions at Anaqua, Bernard Tomsa, Partner and Chair of Patent Analytics at Brooks Kushman, and Robert Leonard, Shareholder at Volpe Koenig, will join Gene Quinn, patent attorney and President and CEO of IPWatchdog, to discuss how to strategically save money on your prosecution budget without sacrificing quality.
In addition to taking questions, the panel will discuss:
- Cutting costs by modeling real-time spend with real-time office action data;
- Identifying potential problem applications that require enhanced analysis and possible executive decision-making; and
- Reviewing historical spend versus historical outcome data to build models driven by real data.