Every functioning chamber in India runs on a munshi. He is the clerk who checks tomorrow's cause list, collects fresh orders from the registry and keeps an advocate from walking into court without knowing what changed overnight. It is a real job and a demanding one and it holds up perfectly well until a caseload grows past what one person can track by memory. After that, pieces of it start slipping quietly: a missed order, a hearing date passed along an hour too late, a client left wondering why nobody called.
We built AI Munshi for exactly those moments. The easiest way to explain what it does is to walk through an ordinary working day and stop at each point where a munshi matters.
It begins the way every case begins with getting the case on the records. An advocate gives a CNR number and AI Munshi pulls the parties, the current stage, the next hearing date and the judge, then starts tracking the case on its own from that moment. There is no form to fill and nothing to configure.
More often, though the moment a case is taken on isn't a moment anyone is sitting at a desk. It is the walk out of the courthouse with a file under one arm and a phone in the other hand so an advocate can simply hold the record button in whatsapp and say it: add this case, here's the CNR, the voice note goes into the same WhatsApp thread as everything else and by the time he reaches the car park, the case is already being tracked. Nothing gets written on the back of a brief to be entered later that evening, which is usually the exact point at which a case goes missing for a fortnight. For chambers onboarding an entire practice at once, the same holds at scale, send a whole list at once and everything on it gets picked up and tracked from that point forward.
None of this change depending on where the case is sitting. AI Munshi tracks cases live across more than 8,700 court portals, covering district courts, High Courts, tribunals and the Supreme Court, which matters more than it sounds like it should. A chamber with cases spread across three court systems used to mean three logins and three separate habits for checking status, each one an opportunity to forget. Now it is one thread, no matter which court a case happens to be sitting in that week.
Then comes the evening before a hearing, which is where most munshi systems quietly fail. A clerk juggling several cases can forget to check one portal or simply run out of hours in the day. AI Munshi sends the next day's cause list every evening without being asked, a short message naming the cases listed, the bench and the time. An advocate goes home already knowing what tomorrow looks like, rather than finding out at the courthouse steps.
Orders, of course, don't keep business hours and neither does AI Munshi. The moment a new order is uploaded to the court record, it lands in the same WhatsApp thread, often before the other side has seen it. Hearing reminders go out a full day ahead as well, with the court, bench and item number attached, so a missed date stops being something that happens invisibly in the background.
Somewhere in the middle of all this, a client calls. He wants to know whether a limitation argument still holds given a recent order. The old version of this afternoon involved pulling the physical file and searching it page by page for the paragraph in question. Now the advocate simply asks and AI Munshi answers from the case record itself, pointing to the specific order where that argument was last addressed. Every answer is linked back to the exact order, document or judgment it came from, not a general summary that then has to be checked against the original. It draws on Indian statutes and on Supreme Court and High Court precedent alongside the file, and it will flag the related task worth doing next, a filing deadline approaching for instance, before anyone thinks to ask.
Once the research is settled, the drafting still has to happen, and this is where a chamber usually loses the most time to back-and-forth. AI Munshi drafts applications, replies and notices directly inside MS Word, grounded in the actual case file rather than a blank template, with tracked changes and comments so a senior can review a junior's draft in the same document instead of across a chain of emails. An adjournment application comes back already carrying the correct case number, the last hearing date and the specific ground being argued, ready to be read and adjusted rather than built from nothing. Nothing has to be exported, reformatted or copied between tools to get from a first draft to something court-ready.
A chamber, though is never one person's caseload. It is several advocates sharing documents, deadlines and clients, and that is precisely where most tracking tools come apart. Documents are auto-classified as they arrive instead of piling up in an unsorted folder so a new associate can find last month's reply without asking three people where it went. Owner, editor and viewer roles mean a junior can be given exactly what he needs for one case without being handed the whole file, while a partner can see everything without micromanaging how anyone works. AI Munshi on WhatsApp is included for every member of the team and the whole system works in English or Hindi, depending on how the chamber talks day to day.
Pricing follows the same logic, scaling with caseload rather than the size of the firm. The first ten cases are free, no card required. A solo advocate handling around a hundred cases pays roughly ₹2,000 a month or ₹12,000 on an annual plan. A full chamber, with unlimited team members and cases capped at a thousand, pays ₹24,000 a year.
There is one more thing and it is the part we refuse to compromise on. Everything runs on our own servers. No case document is sent to a foreign AI provider or any third-party API and case data stays encrypted and stored inside India.
Put together, this covers the same ground a good munshi covers across a working day: adding a matter by voice or by number, tracking it, catching every order and hearing date, answering questions straight from the file, drafting what comes next and keeping the whole chamber on the same page. The difference is that none of it rests on one person's memory holding up under an ever-growing caseload, and none of it stops working on the day the munshi is out sick or stuck at another court.
If any part of this sounds like your Tuesday, the first ten cases are free, and you can start with a single WhatsApp message.