JusticeBot: A Methodology for Building Augmented Intelligence Tools for Laypeople to Increase Access to Justice
This addresses access to justice for laypeople by providing tools to explore legal rights, though it is incremental as it builds on existing reasoning methods.
The paper tackles the problem of laypeople struggling with legal issues by introducing the JusticeBot methodology, which builds legal decision support tools using a hybrid case-based and rule-based reasoning approach, resulting in a deployed version for landlord-tenant disputes used by thousands of individuals.
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.