Law as Data (inbunden)
Inbunden (Hardback)
Antal sidor
Santa Fe Institute of Science
Rockmore, Daniel N.
229 x 152 x 33 mm
926 g
Antal komponenter
411:B&W 6 x 9 in or 229 x 152 mm Gray Cloth w/Jacket on Creme w/Matte Lam
Law as Data (inbunden)

Law as Data

Computation, Text, & the Future of Legal Analysis

Inbunden Engelska, 2019-06-17
  • Skickas inom 7-10 vardagar.
  • Gratis frakt inom Sverige över 199 kr för privatpersoner.
In recent years, the digitization of legal texts and developments in the fields of statistics, computer science, and data analytics have opened entirely new approaches to the study of law. This volume explores the new field of computational legal analysis, an approach marked by its use of legal texts as data. The emphasis herein is work that pushes methodological boundaries, either by using new tools to study longstanding questions within legal studies or by identifying new questions in response to developments in data availability and analysis.

By using the text and underlying data of legal documents as the direct objects of quantitative statistical analysis, Law as Data introduces the legal world to the broad range of computational tools already proving themselves relevant to law scholarship and practice, and highlights the early steps in what promises to be an exciting new approach to studying the law.
Visa hela texten

Passar bra ihop

  1. Law as Data
  2. +
  3. Dopamine Nation

De som köpt den här boken har ofta också köpt Dopamine Nation av Dr Anna Lembke (häftad).

Köp båda 2 för 369 kr


Har du läst boken? Sätt ditt betyg »

Fler böcker av författarna


introduction: from analogue to digital legal scholarship, The Editors


1: distant reading the law, Michael A. Livermore and Daniel N. Rockmore

2: big data, machine learning, and the credibility revolution in empirical legal studies, Ryan Copus, Ryan Hubert, and Hannah Laqueur

3: text as observational data, Marion Dumas and Jens Frankenreiter

4: prediction before inference, Allen Riddell


5: style and substance on the us supreme court, Keith Carlson, Daniel N. Rockmore, Allen Riddell, Jon Ashley, and Michael A. Livermore

6: predicting legislative floor action, Vlad Eidelman, Anastassia Kornilova, and Daniel Argyle

7: writing style and legal traditions, Jens Frankenreiter

8: a computational analysis of california parole suitability hearings, Hannah Laqueur and Anna Venancio

9: analyzing public comments, vlad Eidelman, Brian Grom, and Michael A. Livermore


10: using text analytics to predict litigation outcomes, Charlotte S. Alexander, Khalifeh al Jadda, Mohammad Javad Feizollahi, and Anne M. Tucker

11: case vectors: spatial representations of the law using document embeddings, Elliott Ash and Daniel L. Chen

12: reference networks and civil codes, Adam B. Badawi and Giuseppe Dari-Mattiacci

13: attorney voice and the us supreme court, Daniel L. Chen, Yosh Halberstam, Manoj Kumar, and Alan C. L. Yu

14: detecting ideology in judicial language, Marion Dumas

15: opinion clarity in state and federal trial courts, Adam Feldman


16: machine learning and the rule of law, Daniel L. Chen

17: the law search turing test, Michael A. Livermore and Daniel N. Rockmore