Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-848d4c4894-8kt4b Total loading time: 0 Render date: 2024-07-05T11:26:14.978Z Has data issue: false hasContentIssue false

2.8 - Natural Language Processing for Legal Texts

from B. - Artificial Intelligence, Machine Learning, Natural Language Processing, and Blockchain

Published online by Cambridge University Press:  04 February 2021

By
John J. Nay
Edited by
Daniel Martin Katz ,
Ron Dolin  and
Michael J. Bommarito
Daniel Martin Katz
Affiliation:
Chicago-Kent College of Law
Ron Dolin
Affiliation:
Harvard Law School, Massachusetts
Michael J. Bommarito
Affiliation:
Stanford CodeX
Get access

Summary

Almost all law is expressed in natural language; therefore, natural language processing (NLP) is a key component of understanding and predicting law. Natural language processing converts unstructured text into a formal representation that computers can understand and analyze. This technology has already intersected with law, and is poised to experience rapid innovation and widespread adoption. There are three reasons for this: (1) the number of repositories of digitized machine-readable legal text data is growing; (2) advances in NLP tools are being driven by algorithmic and hardware improvements; and (3) there is great potential to dramatically improve the effectiveness of legal services due to inefficiencies in its current practice.

Type
Chapter
Information
Legal Informatics , pp. 99 - 113
Publisher: Cambridge University Press
Print publication year: 2021

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×