Law as data: computation, text, & the future of legal analysis
"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 lega...
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Santa Fe, New Mexico
The Santa Fe Institute Press
[2019]
|
| Schlagworte: | |
| Zusammenfassung: | "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, [this book] 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."-- |
| Beschreibung: | xxx, 490 Seiten Illustrationen 26 cm |
| ISBN: | 9781947864139 |
Internformat
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| 505 | 8 | |a Introduction: from analogue to digital legal scholarship -- Distant reading the law / Michael A. Livermore and Daniel N. Rockmore -- Big data, machine learning, and the credibility revolution in empirical legal studies / Ryan Copus, Ryan Hubert, and Hannah Laqueur -- Text as observational data / Marion Dumas and Jens Frankenreiter -- Prediction before inference / Allen Riddell -- Style and substance on the US Supreme Court / Keith Carlson, Daniel N. Rockmore, Allen Riddell, Jon Ashley, and Michael A. Livermore -- Predicting legislative floor action / Vlad Eidelman, Anastassia Kornilova, and Daniel Argyle -- Writing style and legal traditions / Jens Frankenreiter -- A computational analysis of California parole suitability hearings / Hannah Laqueur and Anna Venancio -- Analyzing public comments / Vlad Eidelman, Brian Grom, and Michael A. Livermore -- Using text analytics to predict litigation outcomes / Charlotte S. Alexander, Khalifeh al Jadda, Mohammad Javad Feizollahi, and Anne M. Tucker -- Case vectors: spatial representations of the law using document embeddings / Elliott Ash and Daniel L. Chen -- Reference networks and civil codes / Adam B. Badawi and Guiseppe Dari-Mattiacci -- Attorney voice and the US Supreme Court / Daniel L. Chen, Yosh Halberstam, Manoj Kumar, and Alan C.L. Yu -- Detecting ideology in judicial language / Marion Dumas -- Opinion clarity in state and federal trial courts / Adam Feldman -- Machine learning and the rule of law / Daniel L. Chen -- The law search turing test / Michael A. Livermore and Daniel N. Rockmore | |
| 520 | |a "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, [this book] 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."-- | ||
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| 700 | 1 | |a Rockmore, Daniel N. |d 1961- |e Sonstige |0 (DE-588)130421251 |4 oth | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-031726507 | ||
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| contents | Introduction: from analogue to digital legal scholarship -- Distant reading the law / Michael A. Livermore and Daniel N. Rockmore -- Big data, machine learning, and the credibility revolution in empirical legal studies / Ryan Copus, Ryan Hubert, and Hannah Laqueur -- Text as observational data / Marion Dumas and Jens Frankenreiter -- Prediction before inference / Allen Riddell -- Style and substance on the US Supreme Court / Keith Carlson, Daniel N. Rockmore, Allen Riddell, Jon Ashley, and Michael A. Livermore -- Predicting legislative floor action / Vlad Eidelman, Anastassia Kornilova, and Daniel Argyle -- Writing style and legal traditions / Jens Frankenreiter -- A computational analysis of California parole suitability hearings / Hannah Laqueur and Anna Venancio -- Analyzing public comments / Vlad Eidelman, Brian Grom, and Michael A. Livermore -- Using text analytics to predict litigation outcomes / Charlotte S. Alexander, Khalifeh al Jadda, Mohammad Javad Feizollahi, and Anne M. Tucker -- Case vectors: spatial representations of the law using document embeddings / Elliott Ash and Daniel L. Chen -- Reference networks and civil codes / Adam B. Badawi and Guiseppe Dari-Mattiacci -- Attorney voice and the US Supreme Court / Daniel L. Chen, Yosh Halberstam, Manoj Kumar, and Alan C.L. Yu -- Detecting ideology in judicial language / Marion Dumas -- Opinion clarity in state and federal trial courts / Adam Feldman -- Machine learning and the rule of law / Daniel L. Chen -- The law search turing test / Michael A. Livermore and Daniel N. Rockmore |
| ctrlnum | (OCoLC)1119726789 (DE-599)BVBBV046349992 |
| discipline | Rechtswissenschaft |
| format | Book |
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| id | DE-604.BV046349992 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:42:24Z |
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| isbn | 9781947864139 |
| language | English |
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| physical | xxx, 490 Seiten Illustrationen 26 cm |
| publishDate | 2019 |
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| publisher | The Santa Fe Institute Press |
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| spelling | Law as data computation, text, & the future of legal analysis Michael A. Livermore, Daniel N. Rockmore, editors Santa Fe, New Mexico The Santa Fe Institute Press [2019] xxx, 490 Seiten Illustrationen 26 cm txt rdacontent n rdamedia nc rdacarrier Introduction: from analogue to digital legal scholarship -- Distant reading the law / Michael A. Livermore and Daniel N. Rockmore -- Big data, machine learning, and the credibility revolution in empirical legal studies / Ryan Copus, Ryan Hubert, and Hannah Laqueur -- Text as observational data / Marion Dumas and Jens Frankenreiter -- Prediction before inference / Allen Riddell -- Style and substance on the US Supreme Court / Keith Carlson, Daniel N. Rockmore, Allen Riddell, Jon Ashley, and Michael A. Livermore -- Predicting legislative floor action / Vlad Eidelman, Anastassia Kornilova, and Daniel Argyle -- Writing style and legal traditions / Jens Frankenreiter -- A computational analysis of California parole suitability hearings / Hannah Laqueur and Anna Venancio -- Analyzing public comments / Vlad Eidelman, Brian Grom, and Michael A. Livermore -- Using text analytics to predict litigation outcomes / Charlotte S. Alexander, Khalifeh al Jadda, Mohammad Javad Feizollahi, and Anne M. Tucker -- Case vectors: spatial representations of the law using document embeddings / Elliott Ash and Daniel L. Chen -- Reference networks and civil codes / Adam B. Badawi and Guiseppe Dari-Mattiacci -- Attorney voice and the US Supreme Court / Daniel L. Chen, Yosh Halberstam, Manoj Kumar, and Alan C.L. Yu -- Detecting ideology in judicial language / Marion Dumas -- Opinion clarity in state and federal trial courts / Adam Feldman -- Machine learning and the rule of law / Daniel L. Chen -- The law search turing test / Michael A. Livermore and Daniel N. Rockmore "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, [this book] 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."-- Technology and law / United States Law / Data processing Big data Big data fast Law / Data processing fast Technology and law fast United States fast (DE-588)4143413-4 Aufsatzsammlung gnd-content Livermore, Michael A. Sonstige oth Rockmore, Daniel N. 1961- Sonstige (DE-588)130421251 oth |
| spellingShingle | Law as data computation, text, & the future of legal analysis Introduction: from analogue to digital legal scholarship -- Distant reading the law / Michael A. Livermore and Daniel N. Rockmore -- Big data, machine learning, and the credibility revolution in empirical legal studies / Ryan Copus, Ryan Hubert, and Hannah Laqueur -- Text as observational data / Marion Dumas and Jens Frankenreiter -- Prediction before inference / Allen Riddell -- Style and substance on the US Supreme Court / Keith Carlson, Daniel N. Rockmore, Allen Riddell, Jon Ashley, and Michael A. Livermore -- Predicting legislative floor action / Vlad Eidelman, Anastassia Kornilova, and Daniel Argyle -- Writing style and legal traditions / Jens Frankenreiter -- A computational analysis of California parole suitability hearings / Hannah Laqueur and Anna Venancio -- Analyzing public comments / Vlad Eidelman, Brian Grom, and Michael A. Livermore -- Using text analytics to predict litigation outcomes / Charlotte S. Alexander, Khalifeh al Jadda, Mohammad Javad Feizollahi, and Anne M. Tucker -- Case vectors: spatial representations of the law using document embeddings / Elliott Ash and Daniel L. Chen -- Reference networks and civil codes / Adam B. Badawi and Guiseppe Dari-Mattiacci -- Attorney voice and the US Supreme Court / Daniel L. Chen, Yosh Halberstam, Manoj Kumar, and Alan C.L. Yu -- Detecting ideology in judicial language / Marion Dumas -- Opinion clarity in state and federal trial courts / Adam Feldman -- Machine learning and the rule of law / Daniel L. Chen -- The law search turing test / Michael A. Livermore and Daniel N. Rockmore Technology and law / United States Law / Data processing Big data Big data fast Law / Data processing fast Technology and law fast |
| subject_GND | (DE-588)4143413-4 |
| title | Law as data computation, text, & the future of legal analysis |
| title_auth | Law as data computation, text, & the future of legal analysis |
| title_exact_search | Law as data computation, text, & the future of legal analysis |
| title_full | Law as data computation, text, & the future of legal analysis Michael A. Livermore, Daniel N. Rockmore, editors |
| title_fullStr | Law as data computation, text, & the future of legal analysis Michael A. Livermore, Daniel N. Rockmore, editors |
| title_full_unstemmed | Law as data computation, text, & the future of legal analysis Michael A. Livermore, Daniel N. Rockmore, editors |
| title_short | Law as data |
| title_sort | law as data computation text the future of legal analysis |
| title_sub | computation, text, & the future of legal analysis |
| topic | Technology and law / United States Law / Data processing Big data Big data fast Law / Data processing fast Technology and law fast |
| topic_facet | Technology and law / United States Law / Data processing Big data Technology and law United States Aufsatzsammlung |
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