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Bharat?s AI in Income Tax Litigation (2026 Edition) is a forward-looking and innovative guide that explores the application of artificial intelligence in handling income tax disputes and litigation. Authored by CA Piyush Bafna, the book highlights how AI-driven tools, data analytics, and automation are transforming tax litigation strategies, research, compliance, and case management. It bridges traditional legal practice with modern technology, offering insights into improving efficiency, accuracy, and decision-making in tax proceedings.
Key Features
This book is ideal for Chartered Accountants, tax litigators, advocates, legal consultants, finance professionals, and technology-driven tax practitioners. It is also beneficial for CA, CS, CMA, and law students interested in understanding the intersection of artificial intelligence and taxation law, as well as professionals exploring digital transformation in legal and tax practices.
Chapter 1 Digital Transformation of Indian Tax Administration
Chapter 2 Income Tax Litigation — A Primer
Chapter 3 Generative AI and Large Language Models like ChatGPT
Chapter 4 The Art of Prompt
Chapter 5 AI in Action: Assessment and Pre-Litigation Stages
Chapter 6 The AI Advocate — Mastering the Appellate Arena
Chapter 7 AI as a Judicial Research Analyst
Chapter 8 Sharpening Advocacy
Chapter 9 Integrating AI into Practice
Chapter 10 Ethical Compass: Balancing Professional Liability
Chapter 11 AI Tools & Resources for Tax Professionals
Chapter 12 Prompt Library and Toolkit: Specific Issues
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