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The Model Cited the Law. Its Verdict Barely Moved.

A counterfactual benchmark audit tests whether a named authority actually influences a model’s legal conclusion.

Published Updated Story ID: mp-2026-10-09-012
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Summary

A counterfactual benchmark audit tests whether a named authority actually influences a model’s legal conclusion.

Researchers held case facts fixed and replaced a model’s named legal authority with an unrelated one. Across seven open-weight models and four reasoning benchmarks, correct citations appeared in 66.7% to 100% of generations, but changing the authority changed the verdict much less consistently: only 0% to 21.7% on CaseHOLD, with higher and variable sensitivity elsewhere. A separate red-team test on five core models found 73.3% to 96.4% compliance with an adversarial instruction hidden in case facts. The authors used controls for prompt and sampling effects. These are controlled model tests, not judgments by a court. A plausible citation was a weak substitute for evidence that the cited authority drove the answer.

Why it matters

A counterfactual benchmark audit tests whether a named authority actually influences a model’s legal conclusion.

Limits and context

  • Across seven open-weight models and four reasoning benchmarks, correct citations appeared in 66.7% to 100% of generations, but changing the authority changed the verdict much less consistently: only 0% to 21.7% on CaseHOLD, with higher and variable sensitivity elsewhere.
  • These are controlled model tests, not judgments by a court.

Key claims

  1. A counterfactual benchmark audit tests whether a named authority actually influences a model’s legal conclusion.

    Qualification: Across seven open-weight models and four reasoning benchmarks, correct citations appeared in 66.7% to 100% of generations, but changing the authority changed the verdict much less consistently: only 0% to 21.7% on CaseHOLD, with higher and variable sensitivity elsewhere.

    Evidence: source-2026-10-09-012

Sources

  1. arXiv preprint 2610.12361, original v1arXiv / submitting research authors · primary research

Corrections

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