Download This PaperText-mining for Lawyers: How Machine Learning Techniques Can Advance our Understanding of Legal Discourse
25 Pages Posted: 4 Dec 2020
Date Written: November 20, 2020
Abstract
Many questions facing legal scholars and practitioners can only be answered by analysing and interrogating large collections of legal documents: statutes, treaties, judicial decisions and law review articles. I survey a range of novel techniques in machine learning and natural language processing – including topic modelling, word embeddings and transfer learning – that can be applied to the large-scale investigation of legal texts.
Keywords: law; natural language processing; text-mining; machine learning; supervised methods; unsupervised methods
Suggested Citation: Suggested Citation
Dyevre, Arthur, Text-mining for Lawyers: How Machine Learning Techniques Can Advance our Understanding of Legal Discourse (November 20, 2020). Available at SSRN: https://ssrn.com/abstract=3734430 or http://dx.doi.org/10.2139/ssrn.3734430
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