Governments adopt AI to review regulations and cut red tape

Per The Canadian Press report published by the Winnipeg Free Press, federal and provincial governments met in Toronto on May 21, 2026, to discuss cutting outdated and overly complicated regulations. The meeting included Treasury Board President Shafqat Ali and provincial and territorial ministers; the ministers are set to meet again in the fall, the report says. According to Mohammad Kamal, a spokesperson for Ali's office, several provinces are exploring ways to use artificial intelligence to streamline application and approval workflows, review internal processes and improve service delivery.

According to Kamal, the federal government is using a platform called BizPal, which shows permit and licensing requirements across jurisdictions and, per the report, uses AI to convert complex legal and regulatory language into plain-language summaries. The Ontario government told The Canadian Press it is using AI to scan and analyze laws, regulations and forms to identify outdated rules.

Public-sector use cases described in the report focus on document search, cross-jurisdictional mapping and automated plain-language conversion. Industry-pattern observations: governments piloting similar tools commonly rely on domain-specific natural language processing, contract-and-regulation parsing, and rule-extraction pipelines rather than large-scale generative-model-only workflows. For practitioners, those patterns typically imply emphasis on labeled legal/regulatory corpora, explainability of outputs, and robust change-tracking for auditability.

Adoption of AI for regulatory review addresses long-standing manual bottlenecks in government compliance and permitting. For data scientists and ML engineers, public-sector projects often raise higher demands for provenance, verifiable accuracy, and conservative failure modes than comparable private-sector NLP projects. This increases the importance of tooling for model validation, human-in-the-loop review, and transparent documentation.

Observers should track which provinces move from exploration to production, how agencies integrate AI outputs into decision workflows, and whether governments publish accuracy, audit logs or procurement details for platforms like BizPal. Also watch for announced timelines or pilots after the ministers' planned fall meeting, and for guidelines on explainability, privacy and records retention that could shape practitioner requirements.