DLawBench - Chinese 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DLawBench (2026) has LLMs act as lawyers in multi-turn consultations with simulated clients (cooperative, dependent, withdrawn or adversarial) over real Chinese-law and U.S.-law cases, then write a legal memo that a three-judge LLM panel scores against expert rubrics.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 Chinese-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), Chinese-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-5.561.2#49
2GPT-5.459.5#123
3GPT-5.255.4#176
4Gemini 3.1 Pro (Preview)51#94
5Kimi K2.650#178
6Qwen 3.6 Max Preview48#159
7Claude Opus 4.746.8#79
8Kimi K2.546#256
9GLM-5.144.3#179
10Claude Opus 4.643.8#102
11DeepSeek V4 Pro43.6#188
12Seed 2.0 Pro42.5#211
13Qwen 3.6 Plus42.2#222
14GLM-538.8#260
15DeepSeek V3.2 (Thinking)38.5#406 (DeepSeek V3.2)

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

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