This program examines the shift in U.S. immigration adjudications from traditional, point-in-time petition review to continuous, data-driven vetting across government systems. Agencies increasingly use artificial intelligence, machine learning, and cross-agency data integration to identify inconsistencies across filings, public records, and other data sources.
The panel will analyze how automated flagging systems influence adjudicator decision-making and trigger requests for evidence, audits, or enforcement actions. It will also address transparency concerns and due process limitations in AI-assisted adjudications.
Participants will gain practical strategies to prepare consistent, “AI-ready” filings, conduct pre-filing audits, and advise clients effectively in an era of continuous government scrutiny.
