Managing Administrative Law Cases using an Adaptable Model-driven Norm-enforcing Tool

TL;DR

This paper presents a model-driven, adaptable tool that automates normative reasoning to improve enforcement of laws in administrative cases, enhancing transparency and access to justice.

Contribution

It introduces a novel normative reasoning tool based on eFLINT for managing administrative law cases, addressing adaptability and enforcement challenges.

Findings

The tool enforces procedural norms effectively.

It interacts with an eFLINT interpreter for norm specification.

The current implementation demonstrates promising capabilities.

Abstract

Governmental organisations cope with many laws and policies when handling administrative law cases. Making sure these norms are enforced in the handling of cases is for the most part done manually. However, enforcing policies can get complicated and time consuming with ever-changing (interpretations of) laws and varying cases. This introduces errors and delays in the decision-making process and therefore limits the access to justice for citizens. A potential solution is offered by our tool in which norms are enforced using automated normative reasoning. By ensuring the procedural norms are followed and transparency can be provided about the reasoning behind a decision to citizens, the tool benefits the access to justice for citizens. In this paper we report on the implementation of a model-driven case management tool for administrative law cases, based on a set of requirements elicited during earlier research. Our tool achieves adaptability and norm enforcement by interacting with an interpreter for eFLINT, a domain-specific language for norm specification. We report on the current state of the case management tool and suggest directions for further development.