AI co-pilot for Indian law — citations verified against retrieved documents, hallucination risk scored, structured output on every response. Not a law firm. A research engine.
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50K+
Legal chunks indexed
4 Cr+
Judgments available
< 12s
Typical response time
Free
To start today
Every component designed to minimize hallucination risk and maximize citation trust.
Every precedent verified against retrieved documents. Hallucinated references flagged with source_verified: false — not silently presented as facts.
LLaMA-3.1-70B running on Groq's Language Processing Unit. Typical response in 5–12 seconds — not 60+ seconds of a GPU cluster.
FAISS dense + BM25 sparse retrieval fused 70/30. Captures both semantic meaning and exact legal citation strings.
Input sanitization, prompt injection detection, per-user rate limiting, SHA-256 hashed audit logs. GDPR-compliant by design.
Upload PDFs or images of judgments, FIRs, contracts. AI extracts parties, sections cited, key holdings, and runs full legal analysis.
Every response scored: citation_validation_score, hallucination_risk, confidence_level. Know exactly how much to trust each answer.
From question to validated answer in seconds.
Type your legal question — anticipatory bail test, cheque dishonour procedure, landmark judgments on Article 21.
NyayaVeda searches 50,000+ legal chunks from Supreme Court, High Courts, and Indian statutes using dense + sparse retrieval.
LLaMA-3.1-70B synthesizes an answer grounded in retrieved sources. Each citation is verified against the retrieval context.
You get statutes, precedents, analysis, and confidence scores — all in a structured format you can act on.
Every response validated against a Pydantic schema. Disclaimer enforced by the system prompt — cannot be overridden by the LLM.
{
"issue": "Test for anticipatory bail
under Section 438 CrPC",
"confidence_level": "High",
"citation_validation_score": 0.95,
"hallucination_risk": "Low",
"relevant_law": [{
"act_name": "Code of Criminal Procedure",
"section": "438",
"summary": "Anticipatory bail..."
}],
"precedents": [{
"case_name": "Gurbaksh Singh Sibbia
v. State of Punjab",
"year": "1980",
"court": "Supreme Court",
"source_verified": true
}],
"disclaimer": "Educational purposes only..."
}50,000+ chunks from authoritative Indian legal sources. Scrapes Indian Kanoon weekly for fresh judgments.
Upload PDFs or images. AI extracts structured metadata and runs full legal analysis.
🇮🇳 Hindi support
Set EMBEDDING_LANG=multi in your .env to enable Hindi query support via multilingual embeddings. No GPU required. Zero additional cost.
Every feature built around how Indian lawyers actually work.
Research bail applications, precedents, and statutory interpretations in minutes instead of hours.
Understand landmark judgments, trace doctrinal evolution, and cite correctly for moots.
Team plan with high daily quota, custom corpus, and API access for integration.
Free plan available, no credit card required. Upgrade for more queries. Enterprise plan with API access and custom corpus.