Rethinking Legal Compliance Automation: Opportunities with Large Language Models

Overview
With growing pressure on software-intensive systems to comply with laws and regulations, the need for automated compliance analysis is more prominent than ever. This paper examines the current limitations and how Large Language Models (LLMs) can play a pivotal role in overcoming these challenges and providing new avenues for compliance solutions.
Key Findings
- Emphasizes the need for broader contextual analysis of legal artifacts beyond mere sentences.
- Proposes more end-to-end compliance strategies that are not only accurate but also offer justification.
- Initial evaluations suggest substantial accuracy improvements and the provision of compliance justifications.
Author’s Insight
The authors believe that leveraging LLMs for legal compliance is not just about automation but also about enhancing the quality and reliability of compliance checks. This approach could redefine how legal professionals interact with and interpret regulations, making compliance processes more efficient and transparent.
Future Perspectives
- Potential expansion into other regulatory frameworks.
- Enhanced integration with industry-specific compliance needs.
- Development of more sophisticated LLMs that can handle the complex nature of legal texts.
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