An Automatic System for Summarization and Information Extraction of Legal Information

Abstract. This paper presents an information system for legal professionals that integrates natural language processing technologies such as text classification and summarization. We describe our experience in the use of a mix of linguistics aware transductor and XML technologies for bilingual information extraction from judgements in both French and English within a legal information and summarizing system. We present the context of the work, the main challenges and how they were tackled by clearly separating language and domain dependent terms and vocabularies. After having been developed on the immigration law domain, the system was easily ported to the intellectual property and tax law domains. 1 Context of the work Legal information is produced in large quantities and it needs to be adequately classified in order to be reliably accessible. Indeed, legal experts perform relatively difficult legal clerical work that requires accuracy and speed. These legal experts often summarize le...

• Type: Conference
• Year: 2010
• Where: LREC
• Authors: Emmanuel Chieze, Atefeh Farzindar, Guy Lapalme
• Keywords: Education, Legal, Legal Experts, Legal Information, LREC 2010