Case Study: a leading transport technology company achieves 50% faster code comprehension with Legacyleap

How We Leveraged GenAI to Modernize EJB 3 Systems for a Transport Tech Leader Using Legacyleap

A San Jose-based leading transport technology company specializing in logistics solutions needed to modernize its undocumented, mission-critical EJB 3 system. The complex legacy codebase had zero tolerance for operational downtime, rendering traditional manual modernization approaches too slow, costly, and high-risk. The company engaged Legacyleap to address this urgent challenge.

Legacyleap implemented a solution using Amazon Bedrock for automated code comprehension, Amazon Neptune to map code relationships, and Amazon SageMaker for AI-driven risk assessment. This approach enabled a safe, structured migration path without disrupting live operations. Legacyleap delivered 50% faster code comprehension and 50% faster business logic extraction compared to manual analysis, successfully preserving all critical functionality while mitigating risk.