The science behind zero hallucinations
How we built an AI system that never fabricates citations, case laws, or section numbers.
Legal Corpus Engine
Our proprietary corpus of 15,000+ Indian tax law documents, including Supreme Court judgments, High Court orders, ITAT decisions, and CBDT circulars.
Citation Verification System
Every citation is verified against IndianKanoon and our internal corpus in real-time. We check case names, court, year, citation number, and whether the judgment is still good law.
Adversarial Testing Framework
Before any response is finalized, an adversary AI model argues against the draft, attempting to find weaknesses, counter-arguments, and procedural gaps.
Our Methodology
From raw legal documents to verified, filing-grade responses.
Data Collection
Continuous scraping and indexing of new judgments, circulars, and notifications from official sources.
Classification
Each document is classified by section, notice type, issue category, and outcome for efficient retrieval.
Embedding
Legal documents are embedded using fine-tuned models trained specifically on Indian tax law language.
Retrieval
Multi-stage retrieval combining semantic search, keyword matching, and section-specific filtering.
Generation
Responses are generated using constrained decoding to ensure format compliance and factual grounding.
Verification
Post-generation verification against source documents ensures zero hallucinated content.