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Varun Cumbamangalam.

Senior IoT & Edge AI Engineer · AI Product Manager · OraLens Healthcare

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VakeelOS — Legal Practice Operating System logo
ProductAI/MLBackendMobile

VakeelOS — Legal Practice Operating System

Turn the fragmented daily work of Indian advocates into one court-native operating system.

Explore interactive demoVakeelOS website
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Launch Draft Types

India-first

Workflow Model

Grounded

AI Approach

Product Methods

Product StrategyLegal Workflow ResearchPRD AuthoringRoadmapAI SafetyGo-to-market

The Problem

Indian advocates coordinate matters, hearings, causelists, documents, invoices, and client updates across diaries, messaging apps, court portals, spreadsheets, and memory. Existing tools either stop at generic practice management or introduce AI without enough control over source material and residency.

The Challenge

I shaped the product around litigation workflow as the first wedge, then mapped how corporate matters, team operations, fee collection, OCR, and grounded drafting could share the same operating layer. Product decisions had to balance professional density with phone-first usability, while treating source grounding and India-resident infrastructure as product requirements rather than implementation details.

Results

The roadmap now connects the court-native dashboard, mobile workflows, document vault, billing, VakeelBrain drafting, brand system, and launch website as one product story. The initial AI scope is deliberately narrow and source-grounded, with five priority draft types and explicit provider-policy controls.

Explore the product system

One case study, multiple shipped surfaces. Move between the SaaS dashboard, app, website, and brand work without splitting one product into duplicate projects.

Open Product dashboard

Product surfaces

VakeelOS website
Product dashboard

Explore matters, hearings, documents, drafting, and practice operations.

Live Demos

VakeelOS website

https://vakeelos.com

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Interested in this work?

Full architecture walkthrough and code review available during interviews.

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