A Canadian legal reasoning benchmark

How well do AI models reason about Canadian law?

CanLegal is an open evaluation benchmark measuring the legal-reasoning competence of large language models across Canadian case law, statutes, and regulations — bilingual, bijural, and built on a validated gold standard.

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What it measures

A rigorous, Canada-first evaluation suite

CanLegal tests the skills a legal professional actually relies on — statutory interpretation, outcome prediction, citation verification, and jurisdictional routing — across both of Canada's legal traditions and both official languages.

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Bilingual & Bijural

Every task carries explicit English/French and common-law/civil-law dimensions — the legal duality that defines Canadian law and that no other benchmark captures.

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Twelve Task Types

From statute and regulation interpretation to case-outcome prediction, citation verification, and jurisdiction routing — a broad surface of legal-reasoning skills.

Validated Gold Standard

A curated gold answer set, reviewed and validated through a multi-stage vetting process so scores reflect genuine legal competence, not annotation noise.

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Adversarial Robustness

Tasks include perturbation and contamination safeguards that expose whether a model truly reasons or merely pattern-matches against memorized text.

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Frontier-Model Leaderboard

Leading frontier models evaluated head-to-head on identical, closed-book prompts — a clean, comparable measure of Canadian legal reasoning.

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Closed-Book Protocol

No tools, no retrieval, no web access during evaluation — each model answers from its own learned knowledge, making results auditable and reproducible.

By the numbers

Built at scale, validated for trust

3,978
Validated gold records
12
Task types
10
Jurisdictions
5
Frontier models

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