The products of the LLT Lab’s various projects fall into three categories:

  1. Semantic data, which result from our interpretation and annotation of the textual contents of legal documents, will enable computers to assist humans to mine information from legal documents and to use that information to perform useful work.
  2. A collection of the argument structures or reasoning structures actually found in legal documents, as well as heuristic protocols for identifying argument patterns within such documents.
  3. Software applications that will assist clients, lawyers and legal decision makers in making legal arguments. Such applications range from automatically annotating legal texts for argument-related elements, to document assembly applications that use extracted information to generate legal documents (programs that go well beyond the template-and-variable-value designs of today’s state-of-the-art).

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