Book contents
- Legal Informatics
- Legal Informatics
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Part I Introduction to Legal Informatics
- Part II Legal Informatics
- A Information Representation, Preprocessing, and Document Assembly
- B. Artificial Intelligence, Machine Learning, Natural Language Processing, and Blockchain
- 2.6 AI + Law
- 2.7 Machine Learning and Law
- 2.8 Natural Language Processing for Legal Texts
- 2.9 Introduction to Blockchain and Cryptography
- C. Process Improvement, Gamification, and Design Thinking
- D. Evaluation
- Part III Use Cases in Legal Informatics
- Part IV Legal Informatics in the Industrial Context
2.7 - Machine Learning and Law
from B. - Artificial Intelligence, Machine Learning, Natural Language Processing, and Blockchain
Published online by Cambridge University Press: 04 February 2021
- Legal Informatics
- Legal Informatics
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Part I Introduction to Legal Informatics
- Part II Legal Informatics
- A Information Representation, Preprocessing, and Document Assembly
- B. Artificial Intelligence, Machine Learning, Natural Language Processing, and Blockchain
- 2.6 AI + Law
- 2.7 Machine Learning and Law
- 2.8 Natural Language Processing for Legal Texts
- 2.9 Introduction to Blockchain and Cryptography
- C. Process Improvement, Gamification, and Design Thinking
- D. Evaluation
- Part III Use Cases in Legal Informatics
- Part IV Legal Informatics in the Industrial Context
Summary
As highlighted in , the field of artificial intelligence (AI) is broad and embraces a wide range of approaches. While it is of course possible to imagine the linkages between topics such as machine vision and robotics to the business, practice, and delivery of law, the two most relevant topics within the AI landscape are natural language processing (NLP) (discussed in Chapter 2.8) and machine learning (ML).
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- Legal Informatics , pp. 94 - 98Publisher: Cambridge University PressPrint publication year: 2021