Today, we’re introducing Ontological Legal Research, starting with the United States. It brings comprehensive legal data together with a proprietary ontology that maps how sources connect. This enables the Legora Agent to see the full picture of current law and navigate it with unprecedented accuracy.
One of the hardest problems in legal AI
AI fails at legal research in critical ways. Fabricated citations are the most visible failure. Even when the sources are real, AI can cite outdated law, misjudge a source’s authority, or find the main rule but miss the exception. It misses the full picture of current law.
Fixing this takes two things: comprehensive legal data and a way for the Agent to understand how the law connects.
Whatever it takes to get comprehensive data
The single most common frustration we hear from customers is that you can't get the best data and the best technology in one product. Legal publishers have comprehensive data but a weaker AI layer. AI providers have advanced technology but not yet comprehensive data for legal research.