AI-assisted Legacy Code Modernization
Description
This initiative uses AI-assisted code translation and refactoring tools to automatically convert legacy code into modern, secure languages (e.g., Java, Python) while flagging logic gaps and optimizing for cloud environments. Aligns with E.O. 14179’s innovation directive and M-25-21’s governance requirements.
Detailed example
Code Generation, Recommendations, Predictions: modernized code output, optimization recommendations, vulnerability predictions.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
(1) Modernized applications improve resilience, reduce security risk, and lower long-term IT O&M costs, directly supporting DOJ’s modernization and cybersecurity priorities. (2) Builds on DOJ CIO modernization roadmaps, Federal IT dashboards, and prior migration initiatives to cloud platforms. (3) Reduction in legacy system maintenance costs, outages and performance loss; # of applications successfully migrated; cybersecurity vulnerabilities reduced.
Audit / financial statement impact
Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
Controls / human review
ATO: Not reported; PIA: Not published