StrongSuit tripled its recurring revenue in the first half of 2025. McCallon has publicly estimated that Goldman Sachs projects 44% of the $1 trillion legal market will be automated by AI, with litigation technology capturing nearly half of the resulting $440 billion opportunity. Earlier this year, he predicted AI agents could automate 50-99% of common litigation tasks by year-end 2026, contingent on accuracy improvements the industry has not yet achieved.
The commentary matters because it frames a genuine technical moat: legal automation is not a speed play. Platforms that solve for reliability at scale—rather than raw capability—will differentiate in a crowded market. Attorneys evaluating litigation AI tools should scrutinize error rates and validation methodologies, not just feature sets. The gap between what AI can do and what litigation requires remains the real constraint on market adoption.