A Comprehensive Survey on Legal Summarization: Challenges and Future Directions

Akter, Mousumi, Çano, Erion, Weber, Erik, Dobler, Dennis, Habernal, Ivan

arXiv.org Artificial Intelligence 

The constant engagement with extensive written materials is fundamental and immensely time-consuming [104]. Legal professionals often spend hours, if not days, combing through documents to find precedents or relevant cases that could be pivotal to their current cases. This laborious process is a significant part of the workload of legal professionals like lawyers and judges, taking up lots of time that could be invested otherwise. Automatic summarization tools could help to condense lengthy legal documents into concise summaries, helping to save both time and costs. Moreover, integrating advanced Natural Language Processing (NLP) techniques into legal research holds significant promise for democratizing access to legal information. Figure 1 shows the general pipeline for legal summarization. Compared to other domains, legal texts present unique challenges that distinguish them from other document types. Legal documents tend to be longer and more detailed than those from other domains.

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