On April 2nd, 2026, an effusion of data from a daily trove of U.S. regulatory filings will create resources to drive many new use cases for artificial intelligence in capital markets. A clear opportunity exists in securities finance, where practitioners have repeatedly stated that major IT investments will be needed to comply with the many new regulatory mandates. “Black box” AI platforms may seem a ready solution but can also create nightmares for client reviews and lawsuits.
In our opinion, public data can clarify the rational limits of influence for predictive artificial intelligence. The best courtroom-ready models will display an audit trail based on the replication of critical decision parameters and vectors from past markets. Vendor data in securities finance may be more timely and deeper than the public releases but, for judicial purposes, the public data will provide foundational evidence for the “bounded rationality” of decision-makers, as defined by the late Herbert Simon, Nobel Laureate and the father of Artificial Intelligence.