Law Commons^™

Optimal Patent Jurisprudence, Scott Baker, Claudio Mezzetti

Scholarship@WashULaw

We model judicial learning about optimal patent policy. The court is infinitely lived; the plaintiff and defendant are short lived. Litigated cases provide the court with information about the optimal rule. Different cases provide different sorts of information. Opinions influence the stream of future cases likely to be litigated and, as a result, change the flow of information to the court. In structuring opinions, courts make decisions whether to learn fast or slow. We have three main results. First, patent law will stabilize even if the court places zero value on the "predictability" of legal rules. Second, path dependence of …