Law Standard: UAI.1

AI Transparency & Explainability in Legal Decisions

Issued by: Use AI – The Standard for AI in Law

1. Scope

This standard defines the requirements for transparency and explainability in AI-driven legal decision-making. It applies to all AI systems used in legal research, contract analysis, case prediction, and advisory functions within law firms, corporate legal departments, and government agencies.

2. Terms and Definitions

For the purpose of this standard, the following terms and definitions apply:

• Artificial Intelligence (AI): Computational models that perform tasks typically requiring human intelligence.

• Explainability: The ability to describe an AI model's decision-making process in human-understandable terms.

• Transparency: The extent to which an AI system provides insight into its decision-making process.

• Auditability: The capacity to verify AI model outputs through documentation and record-keeping.

3. Requirements

3.1 Explainability & Documentation

• AI systems deployed in legal decision-making must provide structured explanation reports detailing the input variables, decision path, and model reasoning.

• AI models must include interpretability layers ensuring non-technical legal professionals can review and understand AI-generated results.

• Firms must ensure that all AI-generated outputs contain metadata specifying the model version, confidence levels, and relevant case law references.

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