Integrated Survival Model for Predicting Patent Litigation Hazard

Predicting and Analyzing Factors in Patent Litigation

Patent litigation is an expensive and time-consuming process. To minimize its impact on the participants in the patent lifecycle, automatic determination of litigation potential is a compelling machine learning application. In this paper, we consider preliminary methods for the prediction of a patent being involved in litigation using metadata, content, and graph features. Metadata features are...

Predatory patent litigation

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The Patent Litigation Explosion

This paper provides the first look at patent litigation hazards for public firms during the 80s and 90s. Consistent with our model, litigation is more likely when prospective defendants spend more on R&D, when prospective plaintiffs acquire more patents and when firms are larger and technologically close. Public firms face dramatically increased hazards of litigation as plaintiffs and even more...

Patent Litigation with Endogenous Disputes

The Private Costs of Patent Litigation

This paper estimates the total cost of patent litigation. We use a large sample of stock market event studies around the date of lawsuit filings for US public firms from 1984-99. Even though most lawsuits settle, we find that the total costs of lawsuits are large compared to estimated legal fees, estimates of patent value, and R&D spending. By the late 1990s, alleged infringers bore expected co...