Harvey LAB-AA - Corporate M&A: leaderboard

Artificial Analysis's implementation of Harvey's Legal Agent Benchmark restricted to the Corporate M&A 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: Around February 2027. 28 models tracked.

Top models

#ModelScoreOverall rank
1Muse Wonder Full (Max)98.18#12 (Muse Wonder Full)
2Muse Wonder (Max)97.32#18 (Muse Wonder)
3Mistral Large 497.11#106
4Muse Spark 1.3 (Max)96.36#31 (Muse Spark 1.3)
5DeepSeek V4.1 Flash (Max)95.71#37 (DeepSeek V4.1 Flash)
6GLM-5.3 (Max)95.5#44 (GLM-5.3)
7GPT-6 Astra (Max)94.75#6 (GPT-6 Astra)
8Kimi K3 (Max)94.75#35 (Kimi K3)
9Gemini 4 Argon (High)94.53#9 (Gemini 4 Argon)
10Grok 4.7 (xHigh)94.32#26 (Grok 4.7)
11Gemini 3.8 Flash (High)93.89#30 (Gemini 3.8 Flash)
12GLM-5.3 Flash93.68#77
13GPT-6.1 Sol (Max)93.57#7 (GPT-6.1 Sol)
14Claude Haiku 5.5 (Low)92.5#43 (Claude Haiku 5.5)
15GPT-6 Luna (Max)92.28#61 (GPT-6 Luna)

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

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