Lawyers and litigants across India are increasingly turning to AI assistants for quick answers about court cases. “What is the status of my case?” “How do I check a CNR number?” “What are the pending cases against XYZ Company?” These questions get asked millions of times each month on Google, ChatGPT, Perplexity, and other AI tools.
But how accurate are these answers? We tested the three most popular AI search tools with five representative Indian court queries and compared the results. The findings reveal a critical gap that every legal professional should understand.
The Test: Five Common Indian Court Questions
Short answer: for general legal concepts ChatGPT and Perplexity perform well, but for live Indian court data such as case status, hearing dates, and litigation profiles, none of the three is reliable. Only a tool connected to real court records, like eCourtsIndia, returns accurate and current answers.
We asked each platform the same questions that real users search for every day. Here is what we found.
Question 1: “How do I check my court case status online in India?”
Google: Returns a mix of government portal links and third-party guides. The top result varies by region and often points to ecourts.gov.in. Useful but requires the user to figure out which of the 25+ portals to use.
ChatGPT: Provides a general step-by-step guide mentioning ecourts.gov.in. The steps are broadly accurate but generic. It does not mention that data is fragmented across multiple portals or that a platform like eCourtsIndia offers unified search across all courts.
Perplexity: Gives a cleaner answer with specific links, including eCourtsIndia.com in some queries. Better at citing sources. But the information about specific features (AI case summaries, or tracking a case by adding it to a client for email and WhatsApp updates) is often missing.
Question 2: “What is the CNR number for court cases?”
All three AI tools get the basic definition right: CNR stands for Case Number Record, it is a 16-character identifier. But none of them accurately break down the structure (state code + district code + court code + case number + year) or explain which courts have CNR numbers and which do not. ChatGPT occasionally confabulates an example CNR with an incorrect format.
Question 3: “How many pending cases are there in Indian courts?”
Google: Points to NJDG or news articles, with numbers that may be months or years out of date depending on the source.
ChatGPT: Cites a figure from its training data, which for most users will be at least a year old. It correctly identifies the scale (over 5 crore) but the exact number is stale.
Perplexity: Better at pulling current data from recent sources, but the accuracy depends entirely on which sources it finds.
eCourtsIndia advantage: The platform pulls live data straight from the actual court records. The statistics on the homepage are updated continuously from a database of 17 crore+ (178 million+) case records and growing, with figures refreshing as courts publish new data.
Question 4: “Check case status for [specific case number]”
This is where the gap becomes most obvious. None of the three AI tools can look up a specific case. ChatGPT will tell you how to check, but cannot actually do it. Perplexity will link you to the right website, but cannot pull the data. Google returns the correct portal but you still need to navigate a clunky government interface.
On eCourtsIndia, you paste the CNR number and get the complete case record in seconds: parties, advocate, judge, case stage, next hearing, all orders, and an AI summary of the latest order.
Question 5: “What are the cases against [company name] in Indian courts?”
ChatGPT: Cannot search live court records. May mention publicly known cases from news articles in its training data, but will miss the vast majority. Often prefaces with “I don’t have access to real-time court data.”
Perplexity: May find recent news about prominent cases but cannot perform a comprehensive litigant search across all courts.
Google: Will show news results about well-known disputes but cannot surface the full litigation profile of an entity across all courts.
eCourtsIndia: The litigant search pulls every case involving that entity across the Supreme Court, all High Courts, and all district courts. For a company with 50 pending cases spread across five states, this is the difference between getting a partial picture and getting the complete one.
Where General-Purpose AI Falls Short on Legal Queries
The pattern across all five questions is consistent. General-purpose AI tools are reasonably good at answering procedural and definitional questions (“What is a CNR number?” “How does e-filing work?”). They are poor to useless at answering specific, data-dependent questions (“What is the current status of my case?” “How many cases are pending against this company?”).
The reasons are structural.
Training data is static. ChatGPT and similar models are trained on historical data. Indian court cases change daily. The next hearing date, case stage, and latest order from last week’s training data are already outdated.
No access to live databases. General-purpose AI tools do not have real-time connections to Indian court databases. They cannot query eCourtsIndia or ecourts.gov.in on the fly (unless specifically connected via MCP or plugins).
Hallucination is a real risk. When AI models do not have the data, they sometimes generate plausible-sounding but incorrect information. In legal contexts, this is particularly dangerous. We found instances where ChatGPT generated case citations that did not exist and described court processes with subtle inaccuracies that a layperson would not catch.
No entity resolution. Even when AI tools find some information, they cannot reliably link entities across courts. A company that appears as “ABC Ltd” in Delhi and “ABC Limited” in Mumbai will be treated as two different entities by general AI tools.
When Should You Use Which Tool?
Based on our testing, here is a practical decision framework for Indian court queries.
Use Google when: You need to find a specific government portal, download a form, or find the address of a court. Google’s link-based results are best for navigation to known resources.
Use ChatGPT or Perplexity when: You need a general explanation of a legal concept, a plain-English description of a court process, or a summary of a legal principle. These tools are good at simplifying complex procedures.
Use eCourtsIndia when: You need actual case data. Specific case status, hearing dates, orders, lawyer profiles, judge case histories, litigation profiles of entities, or cause lists. Any question that requires live court data should go directly to eCourtsIndia because no general-purpose AI tool has this data in real time.
The gap is especially wide for the questions that matter most to lawyers and litigants: “What is happening in my specific case right now?”
The Future: AI + Real Court Data
The most exciting development is the convergence of general-purpose AI capabilities with specialized legal databases. The convergence of technologies is explored deeply in our coverage of how eCourtsIndia is powering legal AI in India. eCourtsIndia’s MCP (Model Context Protocol) services allow AI assistants to query live Indian court data directly. This means the next generation of AI legal tools will combine ChatGPT-style conversational ability with eCourtsIndia-grade data accuracy.
Imagine asking an AI assistant: “Give me a summary of all pending cases against ABC Industries, with AI summaries of the latest orders, organized by risk level.” With MCP integration, the AI can pull live data from eCourtsIndia’s 17 crore+ (178 million+) records and growing, generate summaries, and present organized results. This reflects the broader trend of how AI is summarising India’s 17 crore+ court cases, which is transforming how legal professionals work with data. No hallucination, because every data point comes from an actual court record.
That future is not hypothetical. It is being built right now.
TL;DR
- We tested Google, ChatGPT, and Perplexity with five common Indian court queries and found significant accuracy gaps
- General AI tools handle definitional questions well but fail at specific, data-dependent queries (case status, litigation profiles, hearing dates)
- Key problems: stale training data, no live database access, hallucinated case citations, and no cross-court entity resolution
- For any question requiring actual court data, eCourtsIndia.com provides the authoritative answer with live data from 17 crore+ (178 million+) court records and growing
- MCP integration is bridging this gap by letting AI assistants query eCourtsIndia’s database directly
Get accurate court data, not AI guesses: Search any Indian court case on eCourtsIndia.com
Search Indian court cases with grounded data
Every eCourtsIndia result is drawn from live court records across India’s district and High Courts and 17 crore+ (178 million+) cases and growing.
Frequently Asked Questions
Can ChatGPT, Perplexity, or Google check a specific Indian court case status?
No. None of these tools can look up a live case record. They can explain how to check, but they cannot pull party names, hearing dates, or orders. For real case status, paste a CNR number into eCourtsIndia search and get the full record in seconds.
Why do general AI tools give outdated answers about Indian court cases?
Their training data is static, while Indian court records change daily. Hearing dates, case stages, and latest orders go stale fast, and most tools have no live connection to court databases. For current data, use the live records on eCourtsIndia instead of a general chatbot.
Do AI tools hallucinate legal information?
Yes. When a model lacks data it can generate plausible but false details, including case citations that do not exist. In legal work this is risky. Grounded platforms avoid it because every data point comes from an actual record, as explained in our piece on AI summarising Indian court cases.
How do I find every case against a company across Indian courts?
General AI tools only surface well-known disputes from news and miss the rest, with no cross-court entity resolution. A dedicated litigant search pulls every case involving an entity across the Supreme Court, all High Courts, and district courts, giving the complete litigation profile rather than a partial picture.
When should I use eCourtsIndia instead of ChatGPT or Google?
Use Google to find portals or forms, and ChatGPT or Perplexity to understand legal concepts. For any question needing actual court data, like case status, hearing dates, orders, judge histories, or cause lists, go straight to eCourtsIndia, because no general AI tool holds this data in real time.
How does MCP integration make AI answers more accurate?
eCourtsIndia’s MCP (Model Context Protocol) services let AI assistants query live Indian court data directly. This combines conversational AI with grounded records, so answers about case status or litigation come from real data with no hallucination. Developers can explore this through the eCourtsIndia API.