AI Transparency & Grounding Policy
TaxIntelHub uses artificial intelligence strictly as an assistive research tool. AI outputs are grounded in verified primary legal sources and must be evaluated alongside authentic statutory and judicial authorities.
1. Purpose of AI on TaxIntelHub
Artificial intelligence language models and retrieval systems are employed on TaxIntelHub to accelerate legal research, structure complex judgments, classify administrative documents, and identify interconnected statutory relationships. AI is designed to assist human researchers, not to replace the authority of primary law.
2. The Grounded AI Research Assistant Architecture
The TaxIntelHub AI Research Assistant adheres to strict grounding principles:
- Evidence-First Generation: Answers are synthesized exclusively from retrieved evidence packs comprising statutory sections, CGST rules, official CBIC circulars, and court judgments in the TaxIntelHub corpus.
- Citation Verification: Every statutory section, rule, and case law cited in an AI answer is cross-checked against our canonical Knowledge Spine. Unsupported citations are suppressed.
- Abstention Capability: When the available legal evidence is insufficient to answer a question definitively, the system is instructed to state the limitation and abstain rather than fabricate a response.
- Temporal Awareness: Where possible, the system distinguishes historical statutory provisions from current law following amendments (e.g. Finance Act revisions).
- Transparent Judicial Conflict: When different High Courts have taken divergent views on a provision (e.g. Section 16(4) ITC or Section 83 provisional attachment), the assistant highlights the conflict rather than forcing a false consensus.
3. What AI Does NOT Do
To ensure research integrity, TaxIntelHub enforces clear boundaries:
- AI does not generate speculative legal opinions, litigation strategies, or tax structuring schemes.
- AI outputs are not published as autonomous, unreviewed legal articles.
- AI is not a substitute for formal advice from an advocate, chartered accountant, or qualified tax professional.
4. Evaluating AI Research Outputs
Users of the AI Research Assistant should observe the following best practices:
- Always verify cited sections, notifications, and judgments against the primary source links provided in the answer.
- Review the complete text of relevant provisions, including exceptions, provisos, and explanations.
- Consider jurisdiction-specific applicability (e.g. State High Court rulings vs Supreme Court precedents).