ChatGPT & IRS/CRA Taxation Law Research for Accountants

This course, developed entirely from scratch using the latest generation of AI research applications, provides a concise overview of how accountants can use modern generative AI tools—such as ChatGPT, Claude, Gemini, Perplexity, and other research platforms—to conduct more structured, defensible, and efficient tax law research across both U.S. IRS and Canadian CRA frameworks. Participants will explore a practical AI Tax Intelligence Framework that helps transform AI-generated insights into professionally governed decisions. The program demonstrates how to analyze complex tax issues, clarify statutory language, identify risks, and build audit-ready documentation while maintaining professional judgment and regulatory compliance.

Through real-world tax examples, the course introduces a layered approach to AI-assisted tax analysis—from simplifying complicated provisions to stress-testing positions using adversarial simulation and verification controls. Accountants will also learn how to design prompts, apply expert personas, evaluate legal defensibility, and document reasoning in ways that support client advisory work and regulatory scrutiny. The program emphasizes that AI is not a replacement for professional judgment, but a powerful thinking partner that helps CPAs elevate their analytical capabilities and deliver higher-value advisory insights.

Topics Covered:

• AI-assisted tax research using ChatGPT and other LLM platforms

• Cognitive compression techniques for explaining complex tax concepts

• Persona-based AI prompting for specialized tax analysis

• Structural analysis of tax positions and documentation standards

• Strategic tax intelligence and scenario modeling

• AI governance, hallucination control, and verification methods

• Cross-border IRS, and CRA tax research tools and platforms

Target Audience:

This course is designed for CPAs, tax professionals, and accounting advisors who want to use AI tools responsibly to accelerate tax research, improve analytical rigor, and strengthen defensible advisory insights.