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About VakeelOS

Built for the bar. By people who listened.

VakeelOS is a practice management suite designed from first principles around how Indian advocates actually work — not how Western LegalTech assumes they do.

The brief

Why we built this.

We don’t resell foreign tools. We don’t bolt Western LegalTech onto Indian workflows. VakeelOS automates what advocates do every day: track causelists, manage hearings, draft documents, collect fees. Every scale of practice, one operating system.

The closest competitor charges 4–10× what we do. We started here because affordability is not an afterthought. It’s the brief.

India has 1.8 million advocates. Most run their practice on WhatsApp, a register, and memory. VakeelOS does the administration so they can do the law.

A lawyer's desk — lamp, documents, pen
The brief — openingLate night · in chambers
APHC · W.P. 4711/2025

“Affordability is not an afterthought — it’s the brief.”

Our commitments

Three things we never compromise on.

Made in

India

Drafted around real Indian causelists. Tested on live High Court dockets. Built by engineers who briefed before they shipped.

Hosted in

India

Indian data centres by default. Data residency is a checkbox we already ticked, and a clause we already wrote.

Verified at

the Bar

Bar Council–verified onboarding. Clerks register too. Roles map to how a chamber actually moves.

What makes us different

Six things built in, not bolted on.

  • Solo to enterprise

    Built for the independent advocate, the two-partner chamber, and the large litigation department alike — one court-native system at every scale.

  • INR-native billing

    No USD pricing converted badly. Net invoices in rupees and paise, UPI-ready out of the box.

  • Bar Council verified

    Enrolment verified at onboarding. Not a self-declared checkbox — an actual verification step.

  • DPDPA-ready logging

    Audit logs and data residency aligned to India's Digital Personal Data Protection Act 2023.

  • Hindi · English UI

    Toggle between Hindi and English at any time. No language lock-in.

  • Zero training data

    Your prompts and documents never touch a foundational model's training pipeline. Contractually.