This paper presents the problem statement and the research approach on an Italian project in the field of e-justice. We present the motivation and methodology for the application of an automatic writing assistant pipeline to Italian civil cases. The proposed solution is based on fine-tuning a transformer on a pre-processed corpus of Italian civil judgments. The resulting language model may be deployed as a writing assistant for legal users, in order to improve the efficiency of text writing, or further fine-tuned to be deployed in other law-related NLP tasks.
Cicero: An AI-based Writing Assistant for Legal Users / DE LUZI, Francesca; Macri, Mattia; Mecella, Massimo; Mencattini, Tommaso. - 477:(2023). (Intervento presentato al convegno 35th International Conference on Advanced Information Systems Engineering, CAiSE'23 tenutosi a ZARAGOZA, SPAIN) [10.1007/978-3-031-34674-3_13].
Cicero: An AI-based Writing Assistant for Legal Users
Francesca De Luzi
;Mattia Macri;Massimo Mecella;Tommaso Mencattini
2023
Abstract
This paper presents the problem statement and the research approach on an Italian project in the field of e-justice. We present the motivation and methodology for the application of an automatic writing assistant pipeline to Italian civil cases. The proposed solution is based on fine-tuning a transformer on a pre-processed corpus of Italian civil judgments. The resulting language model may be deployed as a writing assistant for legal users, in order to improve the efficiency of text writing, or further fine-tuned to be deployed in other law-related NLP tasks.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
