Generating Intelligible Plumitifs Descriptions: Use Case Application with Ethical Considerations

Published in Proceedings of the 13th International Conference on Natural Language Generation, 2020

Recommended citation: Beauchemin, D., Garneau, N., Gaumond, E., Déziel, P. L., Khoury, R., & Lamontagne, L. (2020, December). Generating Intelligible Plumitifs Descriptions: Use Case Application with Ethical Considerations. In Proceedings of the 13th International Conference on Natural Language Generation (pp. 15-21). https://www.aclweb.org/anthology/2020.inlg-1.3/

Plumitifs (dockets) were initially a tool for law clerks. Nowadays, they are used as summaries presenting all the steps of a judicial case. Information concerning parties’ identity, jurisdiction in charge of administering the case, and some information relating to the nature and the course of the preceding are available through plumitifs. They are publicly accessible but barely understandable; they are written using abbreviations and referring to provisions from the Criminal Code of Canada, which makes them hard to reason about. In this paper, we propose a simple yet efficient multi-source language generation architecture that leverages both the plumitif and the Criminal Code’s content to generate intelligible plumitifs descriptions. It goes without saying that ethical considerations rise with these sensitive documents made readable and available at scale, legitimate concerns that we address in this paper.