Using AI to Analyze Land Records and Reconstruct Family Narratives

Land records are a goldmine of historical information, capturing key details like names, dates, financial exchanges, legal boundaries, and family connections. In this presentation, technology and family history expert Thomas MacEntee demonstrates how genealogists can leverage artificial intelligence (AI) to transform complex land documents into rich, compelling family stories. By breaking down intricate legal phrasing and archaic terminology into accessible context, AI allows researchers to go beyond basic names and dates to uncover hidden relationships and reconstruct the everyday lives of their ancestors.

• Deeds function as shorthand biographies: Land records offer far more than legal transactions; they reveal vital personal context, including marital status, local occupations, financial standings, and neighborhood network connections.
• Large Language Models (LLMs) act as virtual research assistants: AI platforms like ChatGPT, Claude, and Gemini excel at transcribing handwriting, translating legalese, and structuring unorganized data, though they require specific prompts and human verification to prevent "hallucinations."
• Cross-platform verification is crucial: Because AI tools operate on probability rather than objective fact-checking, family historians must independently verify results using secondary platforms, census records, and regional archives to ensure complete historical accuracy.

Unlocking the hidden narratives within historical documents has never been more accessible. Watching the full webinar gives you a firsthand look at step-by-step prompt demonstrations, live transcription exercises, and effective strategies for structuring your research workflow. To elevate your skills even further, take time to explore the comprehensive syllabus included with the session—it offers invaluable glossaries, tailored prompt templates, and links to specialized record databases designed to guide your next breakthroughs in family research.