PolicyGuard: From Organizational Policies to Neuro-SymbolicCompliance Review Engines

2026-06-30

AI Summary

This work addresses the limitations of existing end-to-end large-model approaches in organizational policy compliance review, which implicitly encode policy logic, thereby hindering system inspection, updating, and testing. To overcome this, the authors propose PolicyGuard, a neurosymbolic framework that decouples policy formalization, localized document parsing, and symbolic compliance evaluation for the first time. PolicyGuard leverages large language models to extract local evidential fragments from documents and combines them with typed relational logical rules to perform explicit symbolic reasoning. Deployed successfully in enterprise non-disclosure agreement (NDA) compliance review, the framework significantly enhances the transparency, maintainability, and testability of the compliance process, effectively identifying inconsistencies between contractual clauses and organizational negotiation policies, thus demonstrating its systematic advantages and practical utility.

Abstract

Policy-grounded document review requires determining whether a target document complies with organization-specific policies, guidelines, or playbooks. While large language models can assist with policy interpretation and document analysis, end-to-end prompting leaves the applied policy logic implicit, making compliance decisions difficult to inspect, update, and test. We present PolicyGuard, a neuro-symbolic framework for policy-grounded document compliance review. PolicyGuard converts organizational policy guidance into an executable review engine consisting of typed relational logic rules and atom-level extraction questions. During review, LLMs answer these local questions using retrieved document evidence, and a symbolic evaluator applies the formal rules to detect non-compliance. We instantiate and evaluate PolicyGuard on company-specific NDA compliance review, where contract clauses must be checked against organization-specific negotiation policies. By separating policy formalization, local document interpretation, and symbolic compliance evaluation, PolicyGuard makes document review more explicit, maintainable, and systematically testable.

Problem

• policy compliance
• document review
• neuro-symbolic
• organizational policies
• compliance evaluation

Innovation

• neuro-symbolic
• policy compliance
• executable rules
• document review
• large language models