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Niyam

Legal AI for India. Niyam is an AI legal assistant for India: research statutes, case law, and judgments; draft and review contracts; answers grounded in Indian law and cited to primary sources. v2 is live — start for ₹100. Every page below has a markdown twin at its `/raw` link.

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46 reach 0 · trust 10 · quality 21 · freshness 15
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listed
llms.txt
https://niyam.ai/llms.txt
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13
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118
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9078 bytes
Registered
2024-04-01
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— Publisher location unknown; CDN address excluded
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For agents
Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-25T10:50:28.758Z
Last checked
2026-10-25T10:50:31.917Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-25T10:50:28.770Z. Cached copy · Source on niyam.ai

# Niyam

> Legal AI for India. Niyam is an AI legal assistant for India: research statutes, case law, and judgments; draft and review contracts; answers grounded in Indian law and cited to primary sources. v2 is live — start for ₹100. Every page below has a markdown twin at its `/raw` link.

## When to use Niyam
Use Niyam when an agent needs to answer questions about Indian law or help with Indian legal work:
- Research Indian statutes (BNS, BNSS, BSA, IT Act, Contract Act, Companies Act) and Supreme Court / High Court judgments
- Check whether an Indian judgment is still good law before citing it
- Draft or review contracts governed by Indian law
- Draft legal notices, replies, and cause titles formatted for Indian courts
- Answer a hard Indian legal question with citations to primary sources

Do not use Niyam for non-Indian jurisdictions' law, court filing/e-filing itself, or as a substitute for a licensed advocate's advice on a live matter.

How to call it: agents interact through this site's markdown twins (append `/raw` to any page URL below, or send `Accept: text/markdown`) and through the product app at https://app.niyam.ai after signup. There is no open API key yet — signup at https://app.niyam.ai/register starts a ₹100 trial with 200 credits.

## Developer resources
- [Markdown content negotiation](https://niyam.ai/raw): every page serves markdown when requested with `Accept: text/markdown`, or at its `<path>/raw` twin
- [Supreme Court judgment search index](https://niyam.ai/judgements/supreme-court/search-data.json): full-text searchable JSON catalogue of published SC judgments
- [High Court judgment search index](https://niyam.ai/judgements/high-court/search-data.json): full-text searchable JSON catalogue of published HC judgments
- [Judgment catalogues](https://niyam.ai/judgements) · [supreme court](https://niyam.ai/judgements/supreme-court) · [high courts](https://niyam.ai/judgements/high-court): browsable indexes; every judgment page has a markdown twin at its `/raw` URL
- [Judgments (raw)](https://niyam.ai/judgements/raw): the judgment library as markdown — hubs, months, and every judgment twin
- [Changelog feed](https://niyam.ai/changelog/rss.xml): machine-readable product updates

## Docs
- [Raw content](https://niyam.ai/raw): AEO-friendly markdown summary of the homepage
- [Sitemap](https://niyam.ai/sitemap.xml): list of indexable URLs
- [Robots](https://niyam.ai/robots.txt): crawler directives
- [Changelog](https://niyam.ai/changelog): product updates, newest first · [raw](https://niyam.ai/changelog/raw)
- [Changelog RSS](https://niyam.ai/changelog/rss.xml): subscribe to product updates · [Atom](https://niyam.ai/changelog/atom.xml)

## Blog
- [Blog](https://niyam.ai/blog): long-form guides on AI for Indian legal practice · [raw](https://niyam.ai/blog/raw)
- [Blog articles (llms.txt)](https://niyam.ai/blog/llms.txt): every post enumerated with its markdown twin
- [RSS feed](https://niyam.ai/blog/rss.xml): blog updates

## Soluti
…

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