Automation of legal sensemaking in e-discovery

@article{Hogan2010AutomationOL,
  title={Automation of legal sensemaking in e-discovery},
  author={Christopher Hogan and Robert S. Bauer and Dan Brassil},
  journal={Artificial Intelligence and Law},
  year={2010},
  volume={18},
  pages={431-457}
}
  • Christopher Hogan, Robert S. Bauer, Dan Brassil
  • Published 2010
  • Computer Science
  • Artificial Intelligence and Law
  • Retrieval of relevant unstructured information from the ever-increasing textual communications of individuals and businesses has become a major barrier to effective litigation/defense, mergers/acquisitions, and regulatory compliance. Such e-discovery requires simultaneously high precision with high recall (high-P/R) and is therefore a prototype for many legal reasoning tasks. The requisite exhaustive information retrieval (IR) system must employ very different techniques than those applicable… CONTINUE READING
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    Afterword: data, knowledge, and e-discovery

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