The details of how the AI system was constructed, what specific questions it predicted, and how extensively Katyal relied on its output during preparation remain unclear. The extent to which other Supreme Court advocates are using similar tools is also unknown.
For appellate practitioners, this disclosure signals that AI-assisted case preparation is moving from theoretical to operational at the highest levels of litigation. Firms investing in predictive legal technology may gain a measurable edge in identifying judicial priorities and framing arguments accordingly. Courts and bar associations may soon face questions about whether such tools require disclosure or raise ethical concerns around preparation methods. The broader implication is that Supreme Court practice—long dominated by experience and intuition—is becoming a domain where systematic data analysis of judicial behavior can inform strategy.