LegalScope - Constraint Extraction: leaderboard

LegalScope: 28 model configurations; automatic grading on 861 exam and 276 case prompts, human validation on 80 exam and 10 case prompts with two lawyers. Scores scaled 0-100. August generation logs explicitly distinguish non-thinking and Low/Medium/High settings; unspecified older settings remain unspecified. Later provider defaults do not rewrite the experiment.. Score (%).

Metric: Score (%). Source: raw.githubusercontent.com. Saturation forecast: Around January 2027. 28 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.5 (High)98.7#29 (GPT-5.5)
2GPT-5.5 (Medium)98.6#29 (GPT-5.5)
3GPT-5.4 Mini90.2#212
4Grok 4.589.7#49
5GLM-5.3 (Low)87#36 (GLM-5.3)
6DeepSeek V4 Pro (Non-reasoning)86.1#106 (DeepSeek V4 Pro)
7Grok 4.385.3#190
8Gemini 2.5 Flash84.6#242
9Qwen 3 Max (Thinking)82.5#210 (Qwen 3 Max)
10Qwen 3 Max81.8#210
11Qwen 3.8 27B (Non-reasoning)80.3#118 (Qwen 3.8 27B)
12Command A80.2#503
13DeepSeek V3.279.3#204
14DeepSeek R179.3#251
15Grok 4.2076.3#172

No result here: #4 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=legalscope-constraint-extraction · How It Works · Data refreshed daily, snapshot 2026-10-23.