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Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age by Kevin D. Ashley
Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age by Kevin D. Ashley offers a comprehensive exploration of how artificial intelligence (AI) is transforming the legal profession. Published by Cambridge University Press in 2017, the book delves into the integration of AI technologies in legal practice, focusing on text analytics and computational models of legal reasoning.
Key Themes:
Computational Models of Legal Reasoning: Ashley examines how AI can model statutory and case-based reasoning, enabling the generation of arguments for and against specific legal outcomes. These models assist in predicting case outcomes and provide explanations that legal professionals can evaluate.
Legal Text Analytics: The book discusses the application of AI in processing legal texts, enhancing information retrieval, and extracting pertinent information from statutes and case law. This includes the development of ontologies and type systems to represent legal concepts effectively.
Cognitive Computing Legal Applications: Ashley explores the potential of AI to support conceptual legal information retrieval and cognitive computing, fostering collaboration between humans and machines where each performs tasks they are best suited for.
Designed for legal professionals and scholars, the book provides insights into the practical implications of AI in law, emphasizing the importance of understanding computational processes to effectively integrate these tools into legal practice.
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Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age by Kevin D. Ashley offers a comprehensive exploration of how artificial intelligence (AI) is transforming the legal profession. Published by Cambridge University Press in 2017, the book delves into the integration of AI technologies in legal practice, focusing on text analytics and computational models of legal reasoning.
Key Themes:
Computational Models of Legal Reasoning: Ashley examines how AI can model statutory and case-based reasoning, enabling the generation of arguments for and against specific legal outcomes. These models assist in predicting case outcomes and provide explanations that legal professionals can evaluate.
Legal Text Analytics: The book discusses the application of AI in processing legal texts, enhancing information retrieval, and extracting pertinent information from statutes and case law. This includes the development of ontologies and type systems to represent legal concepts effectively.
Cognitive Computing Legal Applications: Ashley explores the potential of AI to support conceptual legal information retrieval and cognitive computing, fostering collaboration between humans and machines where each performs tasks they are best suited for.
Designed for legal professionals and scholars, the book provides insights into the practical implications of AI in law, emphasizing the importance of understanding computational processes to effectively integrate these tools into legal practice.
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