Niyam.ai vs Urava (2026): Credit-Metered Research Workspace vs Court-Ready Cited Memos on WhatsApp

Niyam.ai and Urava are both Indian legal-AI tools grounded in Indian statutes and case law, but they package the work differently: Niyam.ai is a credit-metered research-and-drafting workspace you operate in a browser, while Urava delivers a finished, court-ready, citation-backed research memorandum (PDF) on WhatsApp in about ten minutes. Choose Niyam.ai if you want an interactive workspace with a built-in citator, contract review and legal-document translation, billed by usage credits (₹100 = 100 credits). Choose Urava if you want a genuinely free monthly tier with no card, a fixed and predictable per-memo price, a finished memo delivered inside WhatsApp, or you work from scanned Malayalam/Hindi documents.

Both tools exist for the same reason: an individual SCC Online or Manupatra seat costs tens of thousands of rupees a year, which most of India's estimated 15–20 lakh (1.5–2 million) enrolled advocates (Bar Council of India) cannot justify while researching against more than 4.5 crore cases pending across the courts (National Judicial Data Grid). This page compares the two on price model, output, access, language and citation-safety so you can pick — or use both. Pricing was checked on the vendors' own pages in August 2026; rates change, so confirm on the source before you buy.

What each tool is, in one line

Niyam.ai is an India-focused legal-AI workspace that meters research, drafting, a citator and translation in usage credits, retrieving answers from a corpus of 72,000+ Indian judgments, statutes and rules rather than free-text guessing (niyam.ai).

Urava is a WhatsApp-native service that turns a typed question or a scanned vernacular document into a court-ready, citation-backed research memorandum (PDF/Word) in about ten minutes, priced per research from a free tier upward.

The 60-second comparison

How much does each actually cost?

Niyam.ai meters everything in credits: ₹100 buys 100 credits, and each action spends from your balance — a focused research answer costs a few credits, a deeper multi-judgment answer a little more, and a draft a handful (niyam.ai/pricing). Its three plans — Advocate (solo/junior), Professional (steady weekly load) and Firm (high-volume/teams) — differ only in the monthly credit allowance; no capability is locked behind a higher tier. Annual billing is priced at ten months, so you pay for ten and get twelve months of credits up front. Niyam does not publish a flat per-plan rupee figure in its search-indexed pages, so confirm the current Advocate/Professional/Firm prices on niyam.ai/pricing before you budget.

Urava prices per research, not per seat. In its beta (60% off list) the tiers are Free (3 researches), Junior ₹100/10, Pro ₹400/50, Firm ₹1,800/300 and Firm Pro ₹3,600/750 — every plan has identical features and you pay only for volume. The practical difference is predictability: with Urava you know ₹100 buys exactly ten court-ready memos; with Niyam ₹100 buys 100 credits, and how many research answers that yields depends on how deep each query runs. For a junior who does bursts of work around hearing dates, a fixed memo count is easier to budget; for someone doing lots of short lookups plus drafting, a credit pool can stretch further.

What does the "free" option really get you?

This is the sharpest contrast. Urava's free tier is three researches every single month, and it needs no card to start. Niyam's free is a 3-day trial with 200 credits, and it requires a card up front: a refundable ₹100 hold is placed to verify your payment method and is returned automatically — it is not a purchase and is separate from any subscription (niyam.ai/pricing). So both let you try before you pay, but Urava's free access recurs monthly and is card-free, while Niyam's is a one-time, time-boxed trial gated behind a card. If your constraint is cash flow or you simply want to test on a real brief without entering card details, that difference matters.

Interactive workspace vs finished memo

The deeper distinction is the shape of the output. Niyam is a workspace you operate — you ask, read, refine, run the citator, draft, translate, and assemble the work-product yourself; it is powerful precisely because you stay in the loop across many small actions. Urava hands you the finished artefact — one question in, one structured memorandum out, stating the legal position, applying it to your facts, and citing each proposition to a source you can open. Neither is "better" in the abstract: if you want to explore case law and build the answer yourself, a workspace fits; if you want the memo done so you can get to the hearing, the finished-memo model fits. Urava also drafts, but its centre of gravity is the cited research memo rather than an open research canvas.

Which handles vernacular and scanned documents better?

Both address Indian-language work, differently. Niyam offers legal-document translation as one of its credit-metered features. Urava is built around scanned vernacular input: you forward a photographed or scanned notice, order or petition in Malayalam, Hindi or English, and Sarvam OCR reads it before the memo is generated — so a Kerala or Hindi-belt advocate working from paper files gets a cited memo without first typing the document out. If your bottleneck is turning a scanned regional-language file into usable research, Urava's OCR-first flow is the more direct fit; if you mainly need to translate a document you already have in text, Niyam's translation covers that.

Are either safe to file? The shared citation rule

Both tools are retrieval-grounded — Niyam answers from its 72,000+ document corpus with a citator, and Urava cites each proposition to a verifiable source — but neither removes your duty to check every citation before filing. In 2026 the Supreme Court treated the citing of AI-hallucinated, non-existent judgments as misconduct on the part of an advocate, and a High Court imposed costs after fake case laws were filed following unverified AI use. The professional standard is identical whichever tool you use: open each cited case on Indian Kanoon or e-SCR and confirm it exists and says what the memo claims. Follow the 5-step check to verify AI-generated case citations before filing — it applies to Niyam, Urava and every other AI tool.

Who should choose which?

• You want an interactive research canvas, a citator and contract review in one browser workspace, and can budget in credits: Niyam.ai fits, especially if you research and draft daily and want annual credits banked up front.
• You want a finished, court-ready cited memo delivered on WhatsApp in minutes, a real free monthly tier, and a predictable per-memo price: Urava fits — particularly for 0–5-year juniors, law students and litigants-in-person.
• You work from scanned Malayalam or Hindi files: Urava's OCR-first flow is the more direct route to a cited memo.
• You want to compare more options first: see NyayAssist vs Urava (another affordable, source-traceable Indian tool) and CaseMine vs Urava (a research database Niyam itself benchmarks against), or the full SCC Online & Manupatra alternatives roundup.

Can you use both?

Yes — and for many advocates that is the sensible answer. Keep Niyam (or a free database) for open-ended exploration and its citator, and use Urava when you need a finished cited memo on your phone between hearings, or when the source document is a scanned vernacular file. This is not a zero-sum choice; the two models complement each other, and Urava's free tier means you can add it without new commitment.

How Urava helps

Urava is built for the advocate who wants the answer done, not another dashboard to operate. You type a question — or forward a scanned notice, order or petition in Malayalam, Hindi or English — on WhatsApp, and in about ten minutes you receive a court-ready research memorandum (PDF) where every legal proposition is cited to a verifiable source you can open and check. Pricing is per research, not per seat: a free tier of 3 researches every month with no card, then plans from ₹100/mo, so your cost tracks your actual work. Create a free Urava account and run your next memo before you commit to any credit plan.

Frequently Asked Questions

Is Niyam.ai or Urava cheaper for a junior advocate?

It depends on your usage. Urava's free tier gives 3 cited memos a month with no card, then ₹100 buys exactly 10 memos — a fixed, predictable count. Niyam's ₹100 buys 100 credits, and how many research answers that yields varies by query depth. For predictable, low-volume budgeting Urava is easier; for heavy mixed research-and-drafting a Niyam credit pool can stretch further.

Does Niyam.ai have a free plan?

Niyam offers a 3-day free trial with 200 credits, but it requires a card: a refundable ₹100 hold is placed to verify your payment method and returned automatically. It is a one-time trial, not a recurring free tier. Urava, by contrast, gives 3 free researches every month with no card required.

What is the ₹100 on Niyam.ai — a charge or a deposit?

On Niyam, ₹100 appears in two places. To start the free trial, a refundable ₹100 hold is placed on your card to verify it and is returned automatically. Separately, in Niyam's credit economy ₹100 equals 100 credits of actual usage. Confirm the live terms on niyam.ai/pricing before you sign up.

Does Niyam.ai work on WhatsApp?

Niyam.ai is a web-based workspace; its indexed pages describe a browser platform for research, drafting, a citator and translation, not a WhatsApp bot. Urava is WhatsApp-native: you send a typed question or forward a scanned document and receive a cited PDF memo inside WhatsApp, without installing separate software.

Can I trust the citations from these tools in court?

Only after you verify them. Both Niyam and Urava are grounded in Indian primary sources and cite their answers, but the 2026 Supreme Court position is that citing AI-hallucinated judgments is misconduct. Whichever tool you use, open every cited case on Indian Kanoon or e-SCR and confirm it exists and supports the point before filing.

Which should I pick if I work in Malayalam or Hindi?

If you often start from a scanned regional-language document — a notice, order or petition — Urava is the more direct fit, because its Sarvam OCR reads scanned Malayalam, Hindi and English files before generating a cited memo. Niyam offers legal-document translation, which suits translating text you already have rather than OCR-ing a scanned file.