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JusticeBot: A Methodology for Building Augmented Intelligence Tools for Laypeople to Increase Access to Justice

Research output: Working paper / PreprintPreprint

Abstract

Laypeople (i.e. individuals without legal training) may often have trouble resolving their legal problems. In this work, we present the JusticeBot methodology. This methodology can be used to build legal decision support tools, that support laypeople in exploring their legal rights in certain situations, using a hybrid case-based and rule-based reasoning approach. The system ask the user questions regarding their situation and provides them with legal information, references to previous similar cases and possible next steps. This information could potentially help the user resolve their issue, e.g. by settling their case or enforcing their rights in court. We present the methodology for building such tools, which consists of discovering typically applied legal rules from legislation and case law, and encoding previous cases to support the user. We also present an interface to build tools using this methodology and a case study of the first deployed JusticeBot version, focused on landlord-tenant disputes, which has been used by thousands of individuals.
Original languageEnglish
PublisherAssociation for Computing Machinery (ACM)
Pages351-360
Number of pages10
DOIs
Publication statusPublished - 27 Jul 2023
Externally publishedYes

Publication series

SeriesICAIL '23: Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law

Keywords

  • cs.CY
  • cs.AI

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