Beyond Readability with RateMyPDF

In this paper, we describe RateMyPDF, a web application that helps authors measure and improve the usability of court forms. It offers a score together with automated suggestions to improve the form drawn from both traditional machine learning approaches and the general purpose GPT-3 large language model. We worked with form authors and usability experts to determine the set of features we measure and validated them by gathering a dataset of approximately 24,000 PDF forms from 46 U.S. States and the District of Columbia. Our tool and automated measures allow a form author or court tasked with improving a large library of forms to work at scale. This paper describes the features that we find improve form usability, the results from our analysis of the large form dataset, details of the tool, and the implications of our tool on access to justice for self-represented litigants. We found that the RateMyPDF score significantly correlates to the score of expert reviewers. While the current version of the tool allows automated analysis of Microsoft Word and PDF court forms, the findings of our research apply equally to the growing number of automated wizard-driven interactive legal applications that replace paper forms with interactive websites.