This paper introduces Learning-Infused Formal Reasoning (LIFR), a framework that integrates machine learning with formal verification to address the challenges of opaque AI systems and labor-intensive formal methods. LIFR aims to enable automated contract synthesis, semantic reuse of verification artifacts, and provide rigorous semantic foundations for scalable and trustworthy software engineering.