Professor Colleen Chien recently developed an innovative and important model that relies on a patent's "after …-acquired" characteristics to predict the chances that the patent will be involved in litigation. This comment critiques Professor Chien's model … definition of data regarding the patent owner, further categorization of reexamination data, and research into the timing of …

The patent system - and information about the patent system - is becoming more available and more digitalized. One area … of interest involves using newly available information to predict patent litigation - to identify patents that will in … help patentees because it might make it more likely that they get paid something for their innovation, and thus might make …

Patent lawsuits are disruptive, unpredictable, and costly. The inability to anticipate patent litigation makes it … ward off litigation. This article confronts this systemic problem, by examining the factors that lead a particular patent … to be litigated – only around 1% of patents ever is. It relates the eventual litigation of a patent to earlier events in …

We examine the relationship between pre-grant patent disclosure and analyst forecast accuracy. We take advantage of the … passage of the American Inventor's Protection Act (1999) that mandates public disclosure of all the information in patent … application documents within 18-months after initial filings, regardless of whether or not a patent was granted. We find that the …

Economic theory asserts that, in general, the only cases going to trial should be cases with unpredictable outcomes … cases before trial. I test this theory using a dataset of decisions from the U.S. Courts of Appeals over a six-year period …