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JudgeAI | Law as Computation

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JudgeAI develops the Normative Universe Engine, a computable layer for normative reasoning in AI. It models actors, actions, and consequences to compute and explain legal decisions, transforming facts into auditable, reproducible legal texts for dispute resolution and lawmaking.

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JudgeAI | Law as Computation screenshot
JudgeAI | Law as Computation screenshot

JudgeAI is pioneering the concept of 'Law as Computation,' aiming to create a computable layer for normative reasoning within AI systems. The core of their innovation is the Normative Universe Engine, designed to model complex legal scenarios. This engine meticulously analyzes the facts of a situation, identifies all affected actors, maps out possible actions and their causal consequences, and considers applicable legal constraints. By processing these elements, the system can compute a decision that is not only legally sound but also explainable, testable, and reproducible.

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The platform functions by transforming the raw facts of a dispute or legal situation into a definitive normative decision. It ingests information about what occurred, who is impacted, potential changes, and relevant legal boundaries. Following this computation, the system proceeds to draft the legal text, ensuring that the written document accurately reflects the computed outcome. This approach moves beyond traditional legal processes, offering a public method for normative decisions that relies on explicit assumptions, empirical inputs, and auditable computation, rather than subjective interpretations or proximity to authority.

JudgeAI's language model component is adept at predicting and generating legal text. It operates based on prompts and existing legal documents, capable of producing drafts that mimic the style and structure of decisions, awards, bills, or memos. The output is a legally formatted text that is a direct result of the system's computation. This means that the decision is derived from a modeled understanding of facts, actors, dependencies, potential outcomes, and legal filters, with the document generation occurring only after the normative outcome has been computed. This offers a vision of 'smart law' for a decentralized legal order, promoting transparency and consistency in legal reasoning and application.

  • CategoryAI Legal Assistants
  • Pricing ModelBook a demo
  • DeploymentOpen platform
  • PlatformsWeb

  • Computable layer for normative reasoning

  • Models actors, actions, and causal consequences

  • Computes normative decisions based on facts

  • Generates explainable, testable, and reproducible decisions

  • Language model for drafting legal texts

  • Transforms facts into computed normative outcomes

  • Supports dispute resolution and lawmaking

  • Enables auditable computation for legal reasoning

  • Models legal filters and consequences

  • Produces legal-looking documents (decisions, awards, bills, memos)

  1. Input Facts: Provide the factual details of the situation to the system.

  2. Model Scenario: JudgeAI models actors, actions, consequences, and legal constraints.

  3. Compute Decision: The system calculates the normative decision based on the modeled scenario.

  4. Draft Legal Text: Generate a legally formatted document reflecting the computed decision.

  5. Review and Test: Verify the explainability, testability, and reproducibility of the outcome.

  6. Execute Decision: Implement the computed and drafted legal outcome.

  • Automated Dispute Resolution
  • AI-Assisted Lawmaking
  • Normative Reasoning in AI
  • Legal Document Generation
  • Auditable Legal Compliance
  • Decentralized Legal Order

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