Open AccessAn overview of information extraction techniques for legal document analysis and processing
Author(s) -
Ashwini V. Zadgaonkar,
Avinash J. Agrawal
Publication year - 2021
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v11i6.pp5450-5457
Subject(s) - computer science , domain (mathematical analysis) , legal document , process (computing) , field (mathematics) , publication , data science , information processing , information retrieval , information extraction , law , political science , mathematical analysis , mathematics , neuroscience , pure mathematics , biology , operating system
In an Indian law system, different courts publish their legal proceedings every month for future reference of legal experts and common people. Extensive manual labor and time are required to analyze and process the information stored in these lengthy complex legal documents. Automatic legal document processing is the solution to overcome drawbacks of manual processing and will be very helpful to the common man for a better understanding of a legal domain. In this paper, we are exploring the recent advances in the field of legal text processing and provide a comparative analysis of approaches used for it. In this work, we have divided the approaches into three classes NLP based, deep learning-based and, KBP based approaches. We have put special emphasis on the KBP approach as we strongly believe that this approach can handle the complexities of the legal domain well. We finally discuss some of the possible future research directions for legal document analysis and processing.