Harvey LAB-AA - Environmental & ESG: leaderboard

Artificial Analysis's implementation of Harvey's Legal Agent Benchmark restricted to the Environmental & ESG practice area (about five of its 120 private tasks): agents read case documents and draft legal deliverables graded criterion by criterion by an LLM judge. Share of rubric criteria passed, 0-100 (%); higher is better.

Metric: Criterion Pass Rate (%). Source: artificialanalysis.ai. Saturation forecast: Estimated already saturated. 28 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 4 Argon (High)95.58#9 (Gemini 4 Argon)
2Muse Spark 1.3 (Max)95.22#31 (Muse Spark 1.3)
3Muse Wonder (Max)92.95#18 (Muse Wonder)
4Muse Wonder Full (Max)92.95#12 (Muse Wonder Full)
5GLM-5.3 (Max)90.92#44 (GLM-5.3)
6Mistral Large 490.92#106
7Kimi K3 (Max)90.8#35 (Kimi K3)
8DeepSeek V4.1 Flash (Max)90.56#37 (DeepSeek V4.1 Flash)
9GLM-5.3 Flash90.08#77
10Gemini 3.8 Flash (High)89.49#30 (Gemini 3.8 Flash)
11Grok 4.7 (xHigh)89.37#26 (Grok 4.7)
12GPT-6.1 Sol (Max)87.69#7 (GPT-6.1 Sol)
13GPT-6 Astra (Max)86.86#6 (GPT-6 Astra)
14Claude Haiku 5.5 (Low)86.74#43 (Claude Haiku 5.5)
15GPT-6 Sol (Max)85.78#19 (GPT-6 Sol)

No result here: #3 Claude Opus 5.5, #10 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=harvey-lab-aa-environmental-esg · How It Works · Data refreshed daily, snapshot 2026-11-05.