Methods of Data Research for Law

Custers B.H.M. (2018), Methods of data research for law. In: Mak V., Tjong Tjin Tai E., Berlee A. (Eds.) Research Handbook in Data Science and Law. Research Handbooks in Information Law Cheltenham: Edward Elgar. 355-377.

23 Pages Posted: 2 Jul 2019

See all articles by Bart Custers

Bart Custers

Leiden University - Center for Law and Digital Technologies

Date Written: October 28, 2018

Abstract

Data science and big data offer many opportunities for researchers, not only in the domain of data science and related sciences, but also for researchers in many other disciplines. The fact that data science and big data are playing an increasingly important role in so many research areas raises the question whether this also applies to the legal domain. Do data science and big data also offer methods of data research for law? As will be shown in this chapter, the answer to this question is positive: yes, there are many methods and applications that may be also useful for the legal domain. This answer will be provided by discussing these methods of data research for law in this chapter. As such, this chapter provides an overview of these methods.

Keywords: Law and data science, legal big dat, legal methodology, legal predictions

Suggested Citation

Custers, Bart, Methods of Data Research for Law (October 28, 2018). Custers B.H.M. (2018), Methods of data research for law. In: Mak V., Tjong Tjin Tai E., Berlee A. (Eds.) Research Handbook in Data Science and Law. Research Handbooks in Information Law Cheltenham: Edward Elgar. 355-377.. Available at SSRN: https://ssrn.com/abstract=3411873 or http://dx.doi.org/10.2139/ssrn.3411873

Bart Custers (Contact Author)

Leiden University - Center for Law and Digital Technologies ( email )

2300 RA Leiden, NL-2300RA
Netherlands

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