Legal Index
Assesses model performance across the legal domain. Capabilities evaluated include domain-specific knowledge (contract law, tort law, constitutional law), legal research and drafting, litigation support, compliance review, and more.
查看代表性工作流The Artificial Analysis Legal Index combines performance across benchmarks chosen for legal practice. We map common tasks from O*NET occupational classifications, then select benchmarks that represent this real-world work. Weights are derived from how often capabilities appear across those tasks.
This composite metric provides a single score for tracking model performance across legal tasks. 所有底层基准测试均由 Artificial Analysis 独立运行。有关评测的实施方式,请参阅我们的智能基准测试方法论。
| 能力 | 权重 | 评测 |
|---|---|---|
| Legal Knowledge | 35% | AA-Omniscience Law Accuracy |
| Agentic Knowledge Work | 25% | GDPval-AA v2和AA-Briefcase |
| Reasoning | 15% | HLE |
| Long-Context | 10% | LCR和GDP.pdf |
| Non-Hallucination | 10% | AA-Omniscience Law Non-Hallucination |
| Agentic Tool Use | 5% | AutomationBench-AA Support & Operations |
得分
Artificial Analysis Legal Index
Artificial Analysis Legal Index:能力明细
能力明细
Artificial Analysis Legal Index:Legal Knowledge
代表性工作流
这些真实工作流重点检验 Legal Index 中权重最高的能力。
示例:Determine whether a non-compete is enforceable under controlling state precedent by gathering the relevant case law, applying each holding to the employee's facts, distinguishing unfavorable rulings, and synthesizing the analysis into a report.
示例:Reconcile US and EU indemnity language in a cross-border M&A share purchase agreement 48 hours before signing to flag irreconcilable conflicts, propose drafting that satisfies both regimes where possible, and deliver a partner-ready redline.
示例:Advise a startup shipping a feature that may trigger unsettled state privacy rules such as the CCPA to ask the clarifying questions, lay out the trade-offs by jurisdiction, surface open legal risks, and recommend a defensible launch posture.
示例:Work a 200,000-document e-discovery production delivered ten days before trial to prioritise responsive material, flag likely privilege issues for attorney review, and draft a deposition outline tied to the strongest exhibits.
示例:Rewrite internal policy for a new financial regulation taking effect in 90 days that clashes with procedures in three business units to produce a unified replacement policy, an implementation plan with named owners, and a training brief grounded in the statute and existing policy library.
示例:Consolidate 40 active litigation matters tracked across three incompatible case-management systems to produce one unified docket, surface conflicting court deadlines, and propose a single workflow going forward.
成本
Artificial Analysis Legal Index:单任务成本
Artificial Analysis Legal Index 与单任务成本
速度
Artificial Analysis Legal Index:单任务耗时
输出 token
Artificial Analysis Legal Index:单任务输出 token
发布日期
Artificial Analysis Legal Index 与发布日期
常见问题
根据 Artificial Analysis Legal Index,目前在法律工作上表现最佳的 AI 模型是 Claude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback) (61)、Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback) (61)和GPT-6 Astra (max) (59)。新模型发布后,排行榜会随之更新。
有。Artificial Analysis Legal Index 是一项独立基准测试,用于衡量 AI 模型在法律工作上的表现。它评估法律知识、智能体知识工作、推理、长文档分析、避免幻觉和智能体工具使用等能力。
Legal Index 是 Artificial Analysis 推出的综合基准测试,用于评估模型在法律领域的表现。评估能力包括合同法、侵权法、宪法等专业知识,以及法律研究与起草、诉讼支持、合规审查等。
Legal Index 按各项能力子分数的加权平均值计算。各项子分数及其权重为:Legal Knowledge (35%)、Agentic Knowledge Work (25%)、Reasoning (15%)、Long-Context (10%)、Non-Hallucination (10%)和Agentic Tool Use (5%)。
Legal Index 包含 AA-Omniscience Law Accuracy、GDPval-AA v2、AA-Briefcase、HLE、LCR、GDP.pdf、AA-Omniscience Law Non-Hallucination和AutomationBench-AA Support & Operations。
在已公布结果的模型中,Claude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback) 目前以 61 分位居 Legal Index 榜首。 查看模型
Legal Index 得分越高,表示模型在构成该指数的各项基准测试中整体表现越强。对于特定用例,单项基准测试结果可能比综合得分更具参考价值。