DLawBench - US Law: leaderboard

DLawBench (2026) has LLMs act as lawyers in multi-turn consultations with simulated clients (cooperative, dependent, withdrawn or adversarial) over real Chinese-law and U.S.-law cases, then write a legal memo that a three-judge LLM panel scores against expert rubrics. This board is resolution on the U.S.-law cases only. Scores are rates on a 0 to 100 scale; higher is better.

Metric: Resolution score (0-100), a rate scaled by 100: mean of fact resolution (annotated facts carried into the legal memo and correctly preserved or reframed against the court record) and issue resolution (expert-specified legal analysis points addressed), U.S.-law cases only, on 461 real Chinese-law and U.S.-law cases replayed as multi-turn consultations with a Claude Sonnet 4.6 client simulator in four narrative styles; judged by a GPT-5.1, Claude Opus 4.6 and Gemini 3.1 Pro panel (median; same-vendor judges recuse), empty memos count as zero; provider decoding defaults; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 26 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.551.2#49
2GPT-5.449.7#123
3GPT-5.244.4#176
4Gemini 3.1 Pro (Preview)43.3#94
5Claude Opus 4.642.9#102
6Claude Opus 4.741.2#79
7DeepSeek V4 Pro39.4#188
8GLM-5.139.3#179
9Qwen 3.6 Max Preview39.1#159
10Claude Sonnet 4.637.8#161
11Grok 4.1 Fast35.9#430
12Kimi K2.634.7#178
13GLM-534.2#260
14Kimi K2.533.4#256
15Qwen 3.6 Plus32.2#222

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=dlawbench-us-law · How It Works · Data refreshed daily, snapshot 2026-11-13.