A Neuro-Symbolic Multi-Agent Approach to Legal-Cybersecurity Knowledge Integration

TL;DR

This paper introduces a neuro-symbolic multi-agent system designed to integrate legal and cybersecurity knowledge, aiming to bridge the gap between legal and technical domains for improved collaboration and understanding.

Contribution

It presents a novel neuro-symbolic multi-agent framework for legal-cybersecurity knowledge integration, addressing the complex intersection of law and cybersecurity.

Findings

Promising initial results on multilingual tasks

Demonstrates potential for navigating complex cyber-legal information

Lays groundwork for intelligent cyber-legal systems

Abstract

The growing intersection of cybersecurity and law creates a complex information space where traditional legal research tools struggle to deal with nuanced connections between cases, statutes, and technical vulnerabilities. This knowledge divide hinders collaboration between legal experts and cybersecurity professionals. To address this important gap, this work provides a first step towards intelligent systems capable of navigating the increasingly intricate cyber-legal domain. We demonstrate promising initial results on multilingual tasks.