Smart Privacy Policy Assistant: An LLM-Powered System for Transparent and Actionable Privacy Notices

TL;DR

This paper introduces the Smart Privacy Policy Assistant, an LLM-powered system that automatically interprets privacy policies, categorizes clauses, assesses risks, and provides clear explanations to help users understand and manage their privacy choices.

Contribution

It presents a novel end-to-end system that automates privacy policy analysis and risk explanation, enhancing user comprehension and decision-making.

Findings

High accuracy in clause categorization

Effective risk level assignment

Improved user understanding of privacy policies

Abstract

Most users agree to online privacy policies without reading or understanding them, even though these documents govern how personal data is collected, shared, and monetized. Privacy policies are typically long, legally complex, and difficult for non-experts to interpret. This paper presents the Smart Privacy Policy Assistant, an LLM-powered system that automatically ingests privacy policies, extracts and categorizes key clauses, assigns human-interpretable risk levels, and generates clear, concise explanations. The system is designed for real-time use through browser extensions or mobile interfaces, surfacing contextual warnings before users disclose sensitive information or grant risky permissions. We describe the end-to-end pipeline, including policy ingestion, clause categorization, risk scoring, and explanation generation, and propose an evaluation framework based on clause-level accuracy, policy-level risk agreement, and user comprehension.