The story gained attention after being shared on LinkedIn, where it described how a family’s long-held agricultural land in Mohammadpur village had become difficult to clearly identify despite being passed down through generations. The land originally belonged to the user’s great-grandfather and had since been inherited sequentially by his grandfather, father, and now himself.
However, confirming the exact boundaries and plot details proved challenging. The user, Zahid Khan, explained that limited familiarity with the village and the complexity of official records made the process difficult. He also noted that while the records were digitized, they were scattered across multiple government portals and written in dense official Hindi, making them hard to interpret.
Khan described the documentation as resembling “ancient scripture,” adding that even fluent Hindi readers could struggle with the legal terminology and structure used in land records.
AI steps in to simplify complex government data
To overcome these challenges, Khan turned to Anthropic’s AI assistant, Claude, using its “computer use” capability. The AI was able to systematically navigate government land record websites, search through entries, and assist in identifying relevant property details.
In one instance, the system even inputted his late father’s name in Hindi using an on-screen keyboard to locate matching records. Through this process, it successfully identified land-related entries connected to the family and extracted official Gata Sankhya numbers—unique identifiers used for land parcels in Uttar Pradesh.
In total, the AI helped map details across 25 different land parcels, significantly simplifying what would otherwise have been a time-consuming manual search.
Converting raw records into usable maps
The task became even more technical when the data was found in Universal Transverse Mercator (UTM) coordinates rather than standard latitude and longitude formats. To address this, the AI guided the conversion process and helped extract polygon-based boundary points from the available data.
The processed information was then converted into a KML file and uploaded to Google My Maps, resulting in a clear visual representation of the ancestral land and its boundaries.
Social media reactions highlight AI’s potential
The case quickly went viral online, sparking discussion about how AI tools could transform access to government databases and archival records.
One user commented that the example represented one of the most practical applications of AI seen so far, suggesting it could be integrated into property registrar systems to improve accessibility.
Another user highlighted how AI could help bridge gaps between bureaucracy and citizens, turning complex archival data into meaningful personal insights.
Others noted that India’s vast repository of digitized yet underutilized government data could become far more accessible if AI agents are deployed to navigate administrative systems more effectively.
The incident has since been widely viewed as an example of how AI may soon play a larger role in simplifying bureaucratic processes and reconnecting people with long-lost or hard-to-trace historical records.
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