LongJud-Bench - Evidence Marshalling (Second Instance): leaderboard

LongJud-Bench (LegalWorld, Zuo et al., 2026) makes a model the target lawyer in a simulated Chinese civil case, from client consultation to second-instance trial, with every other role played by Qwen3.5-Plus on a 100-case split. Evidence marshalling is scored on the new evidence in the second-instance appeal or response brief the agent drafts, by a Claude Sonnet 4.6 judge on a 0-10 rubric, normalized to percent; higher is better.

Metric: Evidence Marshalling Score (%; Claude Sonnet 4.6 judge, 0-10 rubric on the new evidence in the second-instance appeal or response, normalized). Source: arxiv.org. Saturation forecast: Around February 2027. 6 models tracked.

Top models

#ModelScoreOverall rank
1GLM-4.771#365
2Qwen 3.5 Plus70#227
3GPT-5.263#172
4DeepSeek V4 Flash57#254
5Qwen 3.5 Flash53#443
6Kimi K2.552#252

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

Interactive version: theaggregate.ai/benchmark?slug=longjud-bench-evidence-marshalling-second-instance · How It Works · Data refreshed daily, snapshot 2026-11-12.