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Argumentation in Legal Reasoning

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Argumentation in Artificial Intelligence

A popular view of what Artificial Intelligence can do for lawyers is that it can do no more than deduce the consequences from a precisely stated set of facts and legal rules. This immediately makes many lawyers sceptical about the usefulness of such systems: this mechanical approach seems to leave out most of what is important in legal reasoning. A case does not appear as a set of facts, but rather as a story told by a client. For example, a man may come to his lawyer saying that he had developed an innovative product while working for Company A. Now Company B has made him an offer of a job, to develop a similar product for them. Can he do this? The lawyer firstly must interpret this story, in the context, so that it can be made to fit the framework of applicable law. Several interpretations may be possible. In our example it could be seen as being governed by his contract of employment, or as an issue in Trade Secrets law.

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Authors and Affiliations

  1. Department of Computer Science, University of Liverpool, Liverpool, UK

    Trevor Bench-Capon

  2. Department of Information and Computing Sciences, Utrecht University, and Faculty of Law, University of Groningen, Groningen, The Netherlands

    Henry Prakken

  3. Law Department, Florence, and CIRSFID, University of Bologna, European University Institute, Bologna, Italy

    Giovanni Sartor

Authors
  1. Trevor Bench-Capon
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  2. Henry Prakken
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  3. Giovanni Sartor
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Correspondence to Trevor Bench-Capon .

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    Bench-Capon, T., Prakken, H., Sartor, G. (2009). Argumentation in Legal Reasoning. In: Simari, G., Rahwan, I. (eds) Argumentation in Artificial Intelligence. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-98197-0_18

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    • DOI: https://doi.org/10.1007/978-0-387-98197-0_18

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