Law firms don't need more AI demos. They need AI systems that integrate with their existing workflows, pass security review, and actually get used by attorneys. Jeff DeRosalia has spent twenty years solving exactly this problem for enterprises far more complex than legal.

As CTO at WireWheel, Jeff built the platform from architecture through acquisition—the same platform Justin scaled to Global 2000 clients. At Capgemini, he led the AI-driven e-commerce platform that doubled Unilever's online sales during the pandemic—proving he can deliver under pressure when the stakes are billions, not millions.

What separates successful legal AI implementations from the 70% that fail? Integration. Jeff has architected systems that connect to every enterprise platform imaginable—from Chase Bank's MarTech acquisition engine to Fidelity's data infrastructure. This experience means Stewardshipped clients don't face the 'last mile' problems that plague most AI deployments.

Jeff teaches full-stack software engineering at Georgia Tech and Johns Hopkins—not because he needs to, but because teaching forces you to stay at the frontier. His students work at companies building tomorrow's AI tools. He knows what's coming before it arrives.

For Memoria, Jeff architected the cross-platform memory system that lets institutional knowledge persist across ChatGPT, Claude, Word, and any MCP-compatible tool. This isn't a feature—it's the technical moat that no competitor can replicate.