Law and word order: NLP in legal tech

Robert Dale

doi:10.1017/S1351324918000475

Law and word order: NLP in legal tech

Robert Dale^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

204 Downloads (Pure)

Abstract

The law has language at its heart, so it's not surprising that software that operates on natural language has played a role in some areas of the legal profession for a long time. But the last few years have seen an increased interest in applying modern techniques to a wider range of problems, so I look here at how natural language processing is being used in the legal sector today.

Original language	English
Pages (from-to)	211-217
Number of pages	7
Journal	Natural Language Engineering
Volume	25
Issue number	1
DOIs	https://doi.org/10.1017/S1351324918000475
Publication status	Published - 1 Jan 2019
Externally published	Yes

Bibliographical note

Copyright the Publisher 2018. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Access to Document

10.1017/S1351324918000475

Publisher version (open access)Final published version, 85.6 KBLicence: CC BY

Link to publication in Scopus

Fingerprint Dive into the research topics of 'Law and word order: NLP in legal tech'. Together they form a unique fingerprint.

Cite this

@article{83babbad456e4e2ca0d5584a1e519887,

title = "Law and word order: NLP in legal tech",

abstract = "The law has language at its heart, so it's not surprising that software that operates on natural language has played a role in some areas of the legal profession for a long time. But the last few years have seen an increased interest in applying modern techniques to a wider range of problems, so I look here at how natural language processing is being used in the legal sector today.",

author = "Robert Dale",

note = "Copyright the Publisher 2018. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.",

year = "2019",

month = jan,

day = "1",

doi = "10.1017/S1351324918000475",

language = "English",

volume = "25",

pages = "211--217",

journal = "Natural Language Engineering",

issn = "1351-3249",

publisher = "Cambridge University Press",

number = "1",

}

TY - JOUR

T1 - Law and word order

T2 - NLP in legal tech

AU - Dale, Robert

N1 - Copyright the Publisher 2018. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - The law has language at its heart, so it's not surprising that software that operates on natural language has played a role in some areas of the legal profession for a long time. But the last few years have seen an increased interest in applying modern techniques to a wider range of problems, so I look here at how natural language processing is being used in the legal sector today.

AB - The law has language at its heart, so it's not surprising that software that operates on natural language has played a role in some areas of the legal profession for a long time. But the last few years have seen an increased interest in applying modern techniques to a wider range of problems, so I look here at how natural language processing is being used in the legal sector today.

UR - http://www.scopus.com/inward/record.url?scp=85059904475&partnerID=8YFLogxK

U2 - 10.1017/S1351324918000475

DO - 10.1017/S1351324918000475

M3 - Article

AN - SCOPUS:85059904475

VL - 25

SP - 211

EP - 217

JO - Natural Language Engineering

JF - Natural Language Engineering

SN - 1351-3249

IS - 1

ER -