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    Legora announces a structured map of law for AI legal research

    The company says it is gathering legal sources across more than 100 countries. Its legal ontology is in limited beta, with general availability planned for Q4 2026, according to the announcement.

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    TLDR

    Legora says it is building a legal ontology—a structured map of law—and an AI-native citator to help AI agents choose sources and determine whether legal authorities still hold. The company describes gathering material through publisher partnerships, manual requests and physical scanning across more than 100 countries. It says attorney editors set standards and handle close calls while AI does the bulk of the work. In its September 14, 2026 announcement, Legora said the ontology was in limited beta, with general availability planned for Q4.

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    9 comments
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    24 reposts

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    Positive——Negative

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    4 Sources

    @MaxJunestrandWe are putting a new foundation under legal research in @WeareLegora. Comprehensive data, a full ontology of law, and an AI-native citator. Almost every legal question starts in the same place. What does the law say, and does it still hold. That is also where AI has been least worth trusting, and I think it is the hardest problem in legal AI. Two things have to be true: You have to have the law, and you have to know your way around it. Getting the data is a grind, and a different grind in every country. We partner with publishers where we can. Where nobody will partner, we go and get it ourselves. Manual requests, physical scanning, whatever that jurisdiction takes. We are working through over 100 countries and every type of source. Then the harder half. No agent can reason across hundreds of millions of documents. Something has to choose the sources before the reasoning starts. So we are building an ontology of the law and an AI native citator, compressing corpora of thousands to hundreds of millions of documents into structured data that an agent actually can use to provide reliable output. The publishers did this by hand. 150 years, thousands of attorney editors, every opinion read by a person. We have hired the best of those editors. They set the standard and they call the close ones, but AI does the muscle work. Reading 60 million pages of case law is no longer too expensive to attempt. The ontology is in limited beta now. Generally available in Q4. Full story: https://legora.com/newsroom/legora-rebuilds-legal-research-with-comprehensive-data-a-full-ontology-of-law-and-an-ai-native-citator
    @loganbartlettRT @MaxJunestrand: We are putting a new foundation under legal research in @WeareLegora. Comprehensive data, a full ontology of law, and an…
    @WeAreLegoraOne of the biggest frustrations we hear from clients is that they can't access the best data and the best technology in one platform. We don't want you to have to choose. Legora's legal research will combine access to comprehensive data with AI-native navigation. We are building the world's most comprehensive legal dataset, mapped into a full ontology of how the law relates, including an AI-native citator that tracks what's still good law. We are building this in every country around the world. The future of legal research is global. Live in limited beta in the US now, more to come soon.
    @soleioRT @WeAreLegora: One of the biggest frustrations we hear from clients is that they can't access the best data and the best technology in on…

    4 Sources

    @MaxJunestrandWe are putting a new foundation under legal research in @WeareLegora. Comprehensive data, a full ontology of law, and an AI-native citator. Almost every legal question starts in the same place. What does the law say, and does it still hold. That is also where AI has been least worth trusting, and I think it is the hardest problem in legal AI. Two things have to be true: You have to have the law, and you have to know your way around it. Getting the data is a grind, and a different grind in every country. We partner with publishers where we can. Where nobody will partner, we go and get it ourselves. Manual requests, physical scanning, whatever that jurisdiction takes. We are working through over 100 countries and every type of source. Then the harder half. No agent can reason across hundreds of millions of documents. Something has to choose the sources before the reasoning starts. So we are building an ontology of the law and an AI native citator, compressing corpora of thousands to hundreds of millions of documents into structured data that an agent actually can use to provide reliable output. The publishers did this by hand. 150 years, thousands of attorney editors, every opinion read by a person. We have hired the best of those editors. They set the standard and they call the close ones, but AI does the muscle work. Reading 60 million pages of case law is no longer too expensive to attempt. The ontology is in limited beta now. Generally available in Q4. Full story: https://legora.com/newsroom/legora-rebuilds-legal-research-with-comprehensive-data-a-full-ontology-of-law-and-an-ai-native-citator
    @loganbartlettRT @MaxJunestrand: We are putting a new foundation under legal research in @WeareLegora. Comprehensive data, a full ontology of law, and an…
    @WeAreLegoraOne of the biggest frustrations we hear from clients is that they can't access the best data and the best technology in one platform. We don't want you to have to choose. Legora's legal research will combine access to comprehensive data with AI-native navigation. We are building the world's most comprehensive legal dataset, mapped into a full ontology of how the law relates, including an AI-native citator that tracks what's still good law. We are building this in every country around the world. The future of legal research is global. Live in limited beta in the US now, more to come soon.
    @soleioRT @WeAreLegora: One of the biggest frustrations we hear from clients is that they can't access the best data and the best technology in on…