Slate: Specialized Legal Automated Term Extraction

  • Cal Deedman
  • Daphne Gelbart
  • Morris Coleman
Conference paper


SLATE is a new research project designed to extract important information from legal text. This information can then be used to automatically determine the value of various attributes significant to legal professionals such as the identity of the parties involved in a legal dispute, the outcome of a case and the amount of damages awarded. Several applications of the automatically extracted information are discussed including the efficient generation of legal case-based reasoning advisory systems, automated database maintenance and the provision at low cost of cross-reference information about cited and citing cases.


Expert System Legal Professional Legal Text Legal Information Legal Dispute 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag/Wien 1992

Authors and Affiliations

  • Cal Deedman
    • 1
  • Daphne Gelbart
    • 1
  • Morris Coleman
    • 1
  1. 1.Faculty of Law Artificial Intelligence Research ProjectUniversity of British ColumbiaVancouverCanada

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