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Vaquill AI - Legal Suit for law firms
API for Indian legal data. 20M+ cases. 23K+ acts.
Indian legal data infrastructure via API. 20M+ court cases, 23,122 acts, citation graphs, vector embeddings, and legal translation in 11 Indian languages. Built for legal tech companies, AI labs, and anyone building products that touch Indian law.
Some context on why Indian legal data matters right now:
India has the world's largest common law system by volume. 40M+ pending cases, 25 High Courts, 14 Tribunals, 1.7M+ advocates. It's also one of the most underrepresented legal jurisdictions in AI training data.
The two incumbents (SCC Online and Manupatra) have dominated Indian legal data for decades. Neither offers API access, vector embeddings, or citation graphs. They sell subscriptions to lawyers, not data to developers.
In January 2026, Manupatra signed an exclusive partnership with Legora ($5.5B valuation, Swedish legal AI company). SCC Online is partnered with Harvey ($11B valuation). That means if you're building anything that touches Indian law and you're not Harvey or Legora, you have a problem. The data sources are getting locked up.
That's where Vaquill comes in.
I spent 2 years indexing 20M+ cases from every Indian court and tribunal. Built citation graphs across the entire corpus. Embedded everything with Voyage AI for semantic search. Added 23,122 acts and statutes with amendment tracking. Built a legal translation service (Anuvad) covering 11 Indian languages with 22,000+ terms from the government's official legal glossary.
And I made it all available via API.
Some things I'm proud of:
- The citation graph. No other Indian legal database offers machine-readable citation treatment analysis (followed/distinguished/overruled) across 20M+ cases.
- The translation accuracy. Google Translate turns "bail" into "land" in Hindi (जामीन vs जमीन, one letter difference). Anuvad gets it right because legal terminology is not guesswork.
- The MCP server. vaquill-mcp on PyPI gives Claude direct access to Indian case law, acts, and citation networks. If you're building with Claude, you can search Indian law in one tool call.
Some things that are hard:
- Solo founder against incumbents with 30+ year head starts and 100+ person teams.
- Indian legal data is messy. 25 High Courts, each with a different website, different format, different level of digitization. Some tribunals don't even have searchable databases. Cleaning this data was the hardest part of the entire project.
- Monetization is early. Most of my current revenue comes from WhatsApp. Yes, Indian lawyers send me documents on WhatsApp and I translate them and send back the PDF. That's the reality of legal tech in India.
What I'm looking for from the PH community:
1. If you're at a legal AI company (Harvey, Casetext, Legora, or a startup), and you need Indian legal data for your product, let's talk. API access, bulk licensing, or white-label.
2. If you're at an AI lab (Anthropic, OpenAI, Google, Sarvam) and need Indian legal training data, I have 20M+ public domain court judgments with structured metadata and bilingual translation pairs across 11 languages.
3. If you're building background verification, fintech, or compliance products that need Indian court record checks, the API is ready.
4. If you're an Indian lawyer or legal tech founder, try the platform and tell me what's broken.
Thomson Reuters paid $6.5M for TimeBase, an Australian company with 167K legislative items and 11 employees.
I have 78x more data points. Not saying that to boast. Just saying the market values jurisdiction-specific legal data.
Happy to answer any questions. DMs open.
About Vaquill AI - Legal Suit for law firms on Product Hunt
“API for Indian legal data. 20M+ cases. 23K+ acts.”
Vaquill AI - Legal Suit for law firms was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #120 on the daily leaderboard. Indian legal data infrastructure via API. 20M+ court cases, 23,122 acts, citation graphs, vector embeddings, and legal translation in 11 Indian languages. Built for legal tech companies, AI labs, and anyone building products that touch Indian law.
On the analytics side, Vaquill AI - Legal Suit for law firms competes within Legal and Artificial Intelligence — topics that collectively have 472.3k followers on Product Hunt. The dashboard above tracks how Vaquill AI - Legal Suit for law firms performed against the three products that launched closest to it on the same day.
Who hunted Vaquill AI - Legal Suit for law firms?
Vaquill AI - Legal Suit for law firms was hunted by Priyansh Khodiyar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
Vaquill AI - Legal Suit for law firms has received 1 review on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
For a complete overview of Vaquill AI - Legal Suit for law firms including community comment highlights and product details, visit the product overview.
Priyansh Khodiyar
Hey PH! I'm Priyansh, CTO Vaquill AI.
Some context on why Indian legal data matters right now:
India has the world's largest common law system by volume. 40M+ pending cases, 25 High Courts, 14 Tribunals, 1.7M+ advocates. It's also one of the most underrepresented legal jurisdictions in AI training data.
The two incumbents (SCC Online and Manupatra) have dominated Indian legal data for decades. Neither offers API access, vector embeddings, or citation graphs. They sell subscriptions to lawyers, not data to developers.
In January 2026, Manupatra signed an exclusive partnership with Legora ($5.5B valuation, Swedish legal AI company). SCC Online is partnered with Harvey ($11B valuation). That means if you're building anything that touches Indian law and you're not Harvey or Legora, you have a problem. The data sources are getting locked up.
That's where Vaquill comes in.
I spent 2 years indexing 20M+ cases from every Indian court and tribunal. Built citation graphs across the entire corpus. Embedded everything with Voyage AI for semantic search. Added 23,122 acts and statutes with amendment tracking. Built a legal translation service (Anuvad) covering 11 Indian languages with 22,000+ terms from the government's official legal glossary.
And I made it all available via API.
Some things I'm proud of:
- The citation graph. No other Indian legal database offers machine-readable citation treatment analysis (followed/distinguished/overruled) across 20M+ cases.
- The translation accuracy. Google Translate turns "bail" into "land" in Hindi (जामीन vs जमीन, one letter difference). Anuvad gets it right because legal terminology is not guesswork.
- The MCP server. vaquill-mcp on PyPI gives Claude direct access to Indian case law, acts, and citation networks. If you're building with Claude, you can search Indian law in one tool call.
Some things that are hard:
- Solo founder against incumbents with 30+ year head starts and 100+ person teams.
- Indian legal data is messy. 25 High Courts, each with a different website, different format, different level of digitization. Some tribunals don't even have searchable databases. Cleaning this data was the hardest part of the entire project.
- Monetization is early. Most of my current revenue comes from WhatsApp. Yes, Indian lawyers send me documents on WhatsApp and I translate them and send back the PDF. That's the reality of legal tech in India.
What I'm looking for from the PH community:
1. If you're at a legal AI company (Harvey, Casetext, Legora, or a startup), and you need Indian legal data for your product, let's talk. API access, bulk licensing, or white-label.
2. If you're at an AI lab (Anthropic, OpenAI, Google, Sarvam) and need Indian legal training data, I have 20M+ public domain court judgments with structured metadata and bilingual translation pairs across 11 languages.
3. If you're building background verification, fintech, or compliance products that need Indian court record checks, the API is ready.
4. If you're an Indian lawyer or legal tech founder, try the platform and tell me what's broken.
Thomson Reuters paid $6.5M for TimeBase, an Australian company with 167K legislative items and 11 employees.
I have 78x more data points. Not saying that to boast. Just saying the market values jurisdiction-specific legal data.
Happy to answer any questions. DMs open.