CourtMesh vs CaseMine
An Indian legal research platform from Gauge Data Solutions, covering India, the United States, the United Kingdom and Ireland, with the AMICUS AI assistant and published rupee pricing.
Every claim about CaseMine on this page was checked on 2026-09-19 against the source linked beside it. Where we could not verify something we say so rather than estimate. Their terms can change without notice, so check their own page before you buy.
The short answer
Who each one suits best
If you only read one section, read this one. These are two different tools and the choice is usually settled by what kind of question you are asking, not by which product is better.
CaseMine is better for
Research that crosses jurisdictions, where an Indian question needs a US or UK authority alongside it, and individual practitioners who want a published subscription price and an AI research assistant.
CourtMesh is better for
Indian docket work, party litigation screening, and Indian court data delivered as an API.
The honest version
What CaseMine does well, and where we differ
CaseMine, built by Gauge Data Solutions, is a legal research platform whose distinguishing feature is reach across jurisdictions: India, the United States, the United Kingdom and Ireland in one research surface. Its India coverage is described as the Supreme Court back to 1950, every Indian High Court extending back to the Privy Council, and coverage across all tribunals, with US coverage across all 50 states and the federal courts. CourtMesh has none of that reach and is not building it. We are India only, deliberately.
CaseMine also publishes its prices in rupees, which is rarer in this market than it should be, and it gives free subscriptions to students, prosecutors and judges. Its AMICUS assistant, introduced in 2023, is a generative AI layer over the case law corpus.
Two things it does not publish are relevant here. It states no numeric corpus size anywhere we could find, describing itself qualitatively as one of India's most comprehensive legal repositories, so we will not put a number in the table for it and neither should anyone else. And its API, which is advertised, is explicitly US legal data only: case law, statutes and regulations across US jurisdictions. If you want Indian data programmatically, that API is not the route.
So the product shapes differ. CaseMine is a cross jurisdictional case law research platform with an AI assistant over it. CourtMesh is built on the Indian docket, that is case status, order sheet timelines, filing metadata and District Court records, with an API and an MCP server over the top. The jurisdictional question usually settles the choice before any other dimension does.
Side by side
CourtMesh and CaseMine, dimension by dimension
Only dimensions where both products can genuinely be compared, and only claims we could read from a published page. A tick marks the side with the advantage on that row, including the rows where it is not us.
| What you are comparing | CaseMine | CourtMesh | Source |
|---|---|---|---|
| Jurisdictions covered | India, the United States, the United Kingdom and Ireland, with US coverage stated across all 50 states and the federal courts | India only, by design | View source |
| Published pricing | Published in rupees: Essential from ₹1,999 a month or ₹12,999 a year, AI Pro from ₹3,999 a month, AI Premium from ₹4,999 a month | Published per endpoint rate card, self serve signup, prepaid packs and a monthly plan, Enterprise by contract | View source |
| Free access for students and the bench | Free subscriptions for students at 10 AMICUS credits a month, and for prosecutors and judges at 50 credits a month | 2,500 API credits on signup and 500 free every month, plus a free public judgment library and a free statute library | View source |
| AI assistant | AMICUS, a generative legal AI assistant over the case law corpus, introduced in 2023, metered in monthly credits | AI semantic search across roughly 2 million cases plus AI case analysis, billed per call and labelled as AI output | View source |
| Indian archive depth | Supreme Court coverage stated back to 1950, and High Court coverage extending back to the Privy Council | Per court and per year record counts published on the coverage page, so the depth is checkable rather than stated | View source |
| Stated corpus size | No numeric corpus figure is published. The site describes itself qualitatively as one of India's most comprehensive legal repositories | 315.6 million court records keyword searchable, counted on 19 September 2026 | View source |
| API, and what data it covers | An API is advertised, but it is US legal data only: case law, statutes and regulations across US jurisdictions. Pricing is by request | Public REST API, 18 confirmed endpoints with a published per call credit price, plus an MCP server | View source |
| Dockets, case status and cause lists | A case management feature is offered for organising matters and hearings you enter yourself. We found no court sourced docket feed, cause lists or case status | Case status, order sheet timelines, filing metadata and party level litigation history, including District Courts, searchable across the corpus and available over the API | View source |
| District Court coverage | Stated coverage is the Supreme Court, High Courts and tribunals. District Courts are not named in the India coverage description | District Courts nationally, including case status and filing metadata | View source |
| Party litigation screening | We could not find a party screening or litigation check product offered | Party screening endpoint returning confidence banded matches with evidence and a DPDP purpose field on every call | Not published |
| Published record counts and freshness by court | We could not find per court record counts or ingest freshness published | Per court, per year record counts and last ingest freshness published free, no API key needed | Not published |
Checked 2026-09-19. Rows reading “we could not find” record what was published on the pages we retrieved, not a claim that the capability does not exist; ask CaseMine directly if it matters to your decision. Figures about CourtMesh come from the same constants that drive our own pricing and coverage pages, so they cannot drift apart from what we charge and publish elsewhere.
Be honest about it
When to choose CaseMine instead
We would rather you picked the right tool and came back later than bought the wrong one from us now.
Choose CaseMine when
- Your research crosses jurisdictions and you need Indian, US, UK and Irish authority in one place. CourtMesh is India only and always will be.
- You are a student, prosecutor or judge and qualify for their free subscription.
- You want an AI research assistant over reported case law as the primary interface to your research, with a published subscription price.
- You need US legal data programmatically, which their API covers and ours does not.
Choose CourtMesh when
- Your work is Indian docket work: case status, listing history, order sheets and District Court filings.
- You are screening parties at volume and need confidence banded matches rather than a research result list.
- You need Indian court data over an API or an MCP server, which their API does not cover.
- You want a published corpus count and per court coverage you can verify before you buy.
What we do not do
CourtMesh's own gaps, stated on our own page
These are true whichever product you are comparing us against, and you will find them out eventually. Better here.
- No SOC 2 Type II and no ISO 27001. Neither is scoped to a target date today.
- No published uptime or freshness SLA. The document at /sla is a proposed draft, not a signed commitment.
- No editorial headnotes, no publisher citator and no commentary. We carry the record, not a reading of it.
- AI semantic search covers a subset of the corpus, not all 315.6 million records. Keyword search covers the whole of it.
- India only. If your research crosses jurisdictions, we are the wrong tool.
Our security posture, retention windows and subprocessor list are set out in full on API security, and what a licence actually grants is on data licensing.
A note on the underlying records
Who owns what in an Indian judgment
This matters to any comparison of Indian legal research products, because it decides what each side can legitimately hold. In Eastern Book Company v. D.B. Modak, (2008) 1 SCC 1, the Supreme Court held that the raw judgment is in the public domain, while a publisher's copy edited version, headnotes, footnotes and paragraph numbering are that publisher's own protected work where they show skill and judgment. Section 52(1)(q) of the Copyright Act, 1957 places the reproduction of judicial pronouncements outside infringement.
The practical consequence runs both ways. CourtMesh ingests primary records from official court portals and does not ingest, reproduce or resell another publisher's headnotes, editorial summaries or paragraph numbering, which keeps our licensing position clean. It also means we have no editorial layer of our own to offer you, and nothing on this page quotes CaseMine's.
Counsel review pending on this section.
FAQ
CourtMesh and CaseMine, asked and answered
Other comparisons
Still weighing the options
Each of these is written the same way: sourced, dated, and explicit about when the other tool is the better answer.
CourtMesh vs Indian Kanoon
The free, widely trusted full text judgment search everyone in Indian law has used, and the cheapest published court data API in the market.
CourtMesh vs Manupatra
A long established Indian legal publisher with judgments, commentary, secondary materials and good law flags, and a published annual subscription price list.
CourtMesh vs SCC Online
The Eastern Book Company group's legal research platform, home of the Supreme Court Cases reported series that Indian lawyers cite from.
CourtMesh vs LegitQuest
The closest direct competitor on Indian court records and litigation due diligence, with an advertised API and security certifications we do not hold.
CourtMesh vs eCourtsIndia
The closest thing to a like for like competitor we have: an Indian court data platform that, like us, publishes a per endpoint API rate card, runs an MCP server and sells a party screening product.
Or go straight to the product: all comparisons, the Indian court cases API, the litigation check API, court case search, coverage and freshness, the MCP server or pricing.
Test it against your own case list
The only comparison that settles anything is a recall test on cases you already know. Sign up, get free API credits immediately, and run it yourself. No sales call, and no obligation to tell us the result.