I examine the impact federal appellate courts have on state policy diffusion through the use of computational text analysis. Using a dyadic framework, I model the impact courts have on the decision to adopt a policy and, if adopted, how much text to borrow directly from another state's preexisting law. A court decision ruling a statute unconstitutional can generate up to a 28% relative reduction in the probability of adoption, and a ruling of constitutionality can both increase the probability of adoption by a similar amount and more than double the amount of borrowed text. These findings shed light on how states learn from one another
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