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How an AI Traced Ancestral Land Records in India

Friday, May 29, 2026
5 min read
How an AI Traced Ancestral Land Records in India

Zahid Khan, an Amazon executive based in Bengaluru, started a whole conversation online recently. It blew up a bit. He shared how he used Anthropic’s AI assistant, Claude , to actually trace and map his ancestral land. All of it happened in rural Uttar Pradesh.

He posted it on LinkedIn, and it just caught the attention of tech folks and regular social media users. It got a lot of traction.

Khan explained the setup. The land itself was in Mohammadpur village. It’s the kind of place you inherit things from, passed down through generations. Great-grandfather, then grandfather, then his late father, and finally, him.

But here’s the kicker. Despite inheriting the property, Khan admitted he barely knew where the actual plots were. He’d only visited the village a handful of times in his life.

He wrote something kind of rambling, actually. “I used Claude Cowork to find my ancestral land in rural India!” That was the hook.

The real difficulty wasn’t just finding the place. It was the paperwork. The land records, even though they were digitized, were scattered across various government portals. And they were written in this really formal Hindi. The kind of Hindi that makes legal documents feel like ancient scripture.

That’s what he meant.

He said recommendations from friends pushed him to try using Claude’s "computer use" feature. The AI handled most of the heavy lifting, apparently. It helped him pinpoint about twenty-five plots connected to his family.

How did it actually work? The AI started by searching official land records. He typed his father’s name in Hindi onto an on-screen keyboard. The AI then spotted plots where his father was listed as an owner or co-owner. It pulled out the Gata Sankhya—the plot numbers—from the government mapping portals.

But the AI didn’t stop there. It noticed something else. The coordinates weren’t standard latitude and longitude. They were in Universal Transverse Mercator, or UTM format. Claude just switched gears. It converted those coordinates. Then it generated a KML file. All the land polygons, neatly packaged up. And then it uploaded it to Google My Maps. A navigable map. Showing the exact boundaries.

The executive joked that this whole ambitious project eventually pushed him out of Claude’s free tier. He ended up needing the paid Pro and Max plans just to keep going.

The online reaction was wild. People were fascinated. Some were just amused.

“This is crazy and awesome,” one user commented. They asked how much hand-holding or course correction Khan actually needed.

Then you get the practical stuff. Another user jumped in. “This is one of the few real use cases I’ve seen for AI. It’s super encouraging. This should be turned into an agent for the Government Registrar of Property website.”

And naturally, some people just wanted to jump in. “I need to do this for my ancestral land too! I’ll use these exact steps. Thanks for sharing!”

Of course, there were the jokes too. Some people just focused on the money side. “Rich man problem 😅 using Gen AI to find owned properties!”

Another comment touched on the absurdity of the effort versus the reward. “For twenty thousand rupees a month (Claude Max), someone in the village would’ve mapped the land, settled disputes, and arranged chai too 😄”

It just sparked a much bigger discussion. It really opened up conversations about what generative AI can actually do when you throw it at India’s incredibly complicated government record systems. It made you think about the practical side of this technology, not just the hype.

Written by Gree News Team — Senior Editorial Board

Gree News Team covers international news and global affairs at Gree News. Our collective of senior editors is dedicated to providing independent, accurate, and responsible journalism for a global audience.

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