I use AI to read more, not to think less.
AI tools help me research wider, compare documents faster and draft first versions. Every conclusion you receive is reviewed, reasoned and signed off by me.
About
Raghav R Handa advises founders worldwide where AI, data and technology meet the law, and builds tools that lawyers in five countries use every day.

I’m a lawyer who builds software, and a builder who reads the law. That combination is the whole point of my practice.
I’ve practised law for more than nine years, and almost all of it has been at the edge where technology outruns regulation: data protection as the GDPR rewired products worldwide, crypto through the years when no jurisdiction could agree what a token was, and now AI, where the rules are being written in Brussels, Washington, London and New Delhi while the products ship.
Along the way I started building. I wanted better systems for my own practice, so I made them, first as Notion workspaces and then as products. LawyerOS, a practice management system I built on Notion, is now used by more than 3,000 lawyers across the US, UK, Canada, India and Australia. More recently I’ve worked on MatterOS, an AI practice management tool for solo and small law firms.
Building changed how I advise. I’ve shipped features, handled user data, chosen AI vendors, read their terms at midnight and answered customers’ questions about where their data goes. When a founder tells me what they’re trying to launch, I usually know what the product looks like underneath, and where the legal risk actually lives.
Today my practice, the Law Office of Raghav R Handa, advises founders and product teams on AI governance, data protection, crypto and technology contracts, wherever their users are. I work remotely and across time zones, with a base in New Delhi and a network of local counsel for questions that need them. I keep the practice small and independent on purpose. You work with me directly, and you get advice written for the decision in front of you, not a memo written for the file.
Raghav H.
At a glance
Lawyer and builder
Building software for lawyers keeps me close to the problems my clients face: product decisions, user data, AI vendors and the gap between what terms promise and what systems do.

What I believe about the work
Law is a design constraint.
Say what changes the decision.
AI makes me faster, not less accountable.
Uncertainty is a finding, not a failure.
How I use AI in my practice
Clients ask me how I use AI. They should. Here are the rules I work by.
AI tools help me research wider, compare documents faster and draft first versions. Every conclusion you receive is reviewed, reasoned and signed off by me.
I use AI tools only where their terms and settings are appropriate for client material, and I don’t put confidential information into tools that train on it.
If you want to know which tools were used on your matter, or want them kept out of it entirely, say so and I’ll work that way.
What working with me is like
Advice written for founders and engineers, with the legal reasoning available when you want it.
We agree the question, the deliverables and the fee basis before work starts.
Realistic timelines, and a straight answer when something needs more time or a specialist.
Every piece of work ends with what to do next, who owns it and what remains uncertain.
A decade of practice
The GDPR applies and California passes the CCPA. Privacy becomes a global product requirement.
Schrems II strikes down the EU–US Privacy Shield, and cross-border data flows get harder.
ChatGPT launches, and the EU adopts the Digital Services and Digital Markets Acts.
MiCA, the EU–US Data Privacy Framework and India’s DPDP Act all arrive.
The EU AI Act enters into force, the first comprehensive AI law.
AI and privacy rules phase in from Brussels to California to New Delhi. This is my desk now.
Elsewhere