The End of Regex: Why LLMs Are Winning Data Extraction

The shift from fragile regex patterns and complex NLP models to LLM-driven extraction represents a fundamental change in how organizations handle unstructured data. By combining prompt engineering with structured output formats like JSON schemas, teams can build adaptive, maintainable extraction systems without constant refinement. This trend signals a broader industry move toward AI-native solutions that replace brittle rule-based systems.