PriCL: Creating a Precedent A Framework for Reasoning about Privacy Case Law

TL;DR

PriCL is a novel framework that formalizes and automates reasoning about privacy case law using precedents, logic, and norms, enabling better legal analysis and decision support.

Contribution

It introduces PriCL, a parametric framework for representing and reasoning about privacy case law, integrating legal concepts with logic-based automation.

Findings

Provides algorithms for deducing legal permissions

Connects privacy law with norm-based rule systems

Defines deducibility through logic satisfiability

Abstract

We introduce PriCL: the first framework for expressing and automatically reasoning about privacy case law by means of precedent. PriCL is parametric in an underlying logic for expressing world properties, and provides support for court decisions, their justification, the circumstances in which the justification applies as well as court hierarchies. Moreover, the framework offers a tight connection between privacy case law and the notion of norms that underlies existing rule-based privacy research. In terms of automation, we identify the major reasoning tasks for privacy cases such as deducing legal permissions or extracting norms. For solving these tasks, we provide generic algorithms that have particularly efficient realizations within an expressive underlying logic. Finally, we derive a definition of deducibility based on legal concepts and subsequently propose an equivalent characterization in terms of logic satisfiability.