mlsanityData to 14 Oct 2026

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

arXiv 2308.02032 ↗First posted 27 Jul 2023cs.CY cs.AIcited by 9

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Abstract (arXiv)

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.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 1 of its 45 references that are in the map. First posted on arXiv 27 Jul 2023.

Builds on

1 of 45 references.

References · 1

  1. 2021Sentence Embeddings and High-speed Similarity Search for Fast Computer Assisted Annotation of Legal Documentscited by 9

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 3; 2024: 3; 2025: 2; 2026: 1.

9 papers.