Maple News reports a compelling example of how AI-assisted research can illuminate citizenship possibilities. Larry, born in 1955, grew up unable to meet his great-grandfather, Pierre Jean-Baptiste Robichaud, a Moncton native who later settled in Michigan and is buried in a Lansing cemetery. By 2026, Larry and his family realized they could potentially claim Canadian citizenship through Pierre’s lineage.
A 30-year Oracle veteran, Larry had settled into semi-retirement in Raleigh, North Carolina, near their three adult children. The family faced a challenging immigration landscape, including concerns about relocation for a mixed-race family with children adopted from Nigeria amid a tense period of enforcement and political debate. After learning of recent changes to Canada’s citizenship laws, the idea of pursuing citizenship by descent gained new traction: if they could prove a direct line to a Canadian ancestor, they might qualify without starting from scratch as new immigrants.
Armed with only Pierre’s name and place of origin, Larry turned to AI. He used Google Gemini to search for historical records and quickly found Canada’s digitized census records online through Library and Archives Canada. Within minutes, he found a 1901 census entry for Pierre Jean-Baptiste Robichaud listing him as Canadian and noting his occupation as a grocer. The result provided compelling evidence that the family could establish citizenship by descent rather than immigration, assuming they gathered the right documents for proof of citizenship.
The discovery sparked a wave of activity within the family. In their group chat, more than 30 relatives were identified as descendants of Pierre, all of whom could be Canadian citizens by descent. Over the next days, the family began outlining concrete steps: locating baptismal records for Pierre and his daughter, securing professional help for proof-of-citizenship applications, and researching suitable Canadian cities to live and work.
Although processing times for proof of citizenship were estimated at about ten months, the family moved forward with their relocation plans within weeks, ultimately deciding to settle in Mississauga, Ontario. This case highlights how AI-assisted genealogical research can accelerate the discovery of citizenship opportunities and support more informed relocation decisions.
Practical tips for readers considering AI-assisted citizenship research: provide clear context in prompts to yield more relevant guidance; be specific about the individuals and records involved; use AI as a starting point to identify primary sources; and most importantly, validate findings against original records before making immigration plans.
Note: This account is a dramatized retelling to protect confidentiality and ensure narrative coherence while illustrating the potential of AI in citizenship-by-descent research.