AIEvals

Benchmarks

Legal Research Bench

Whether an agent can research a real US legal question with case-law search, web search and document retrieval, then produce a supported answer — the multi-source work junior associates and paralegals do.

Professional knowledgeVals AI with practising lawyers72 models run by Vals AIUpdated 29 September 2026

How it is run

Questions span eight practice areas of federal and state law and were written and peer-reviewed by practising lawyers, each with a rubric whose items are all required. Vals reports the strict all-pass rate as the headline and a weighted partial-credit figure beside it.

What it cannot tell you

Partial credit hides the failure mode: Opus 5 reaches 90.58% weighted but 55.29% all-pass, meaning models often get most of an answer right and miss one required element. Reconciling conflicting authority is the most reliable failure — every model loses 6 to 17 points on questions that need synthesis across jurisdictions, courts or regimes.

Leader
Muse Spark 1.3 Max55.29% · Vals AI's own list
Top-ten spread
7.21%Leader minus tenth place, or last place in smaller fields.
Median
32.94%of the 72 rows published
No published result
9of 46 models on this site

Independent leaderboard · Vals AI

Top 72 of 72 runs by Vals AI, one harness.

#ModelScore
1Muse Spark 1.3 Max55.29%
1Claude Opus 555.29%
1Claude Fable 5.155.29%
4Gemini 4 Argon54.81%
5Claude Opus 5.550.48%
6Claude Fable 549.52%
7GLM 5.349.04%
8Grok 4.648.08%
8GPT-5.6 Sol48.08%
8Claude Sonnet 5.548.08%
11Qwen3.8 Max47.60%
12Grok 4.747.12%
12MiMo V2.6 Pro47.12%
14GLM 5.3 Flash45.19%
14Hunyuan Hy4 Preview45.19%
16Ember 144.71%
17Kimi K344.23%
18Muse Spark 1.243.75%
18Claude Opus 4.843.75%
20Claude Sonnet 541.83%
21DeepSeek V4.1 Flash41.35%
21GPT-5.6 Terra41.35%
23Muse Spark 1 340.87%
23DeepSeek V4 Pro40.87%
25GPT-5.540.38%
26GPT-6 Astra39.42%
27Gemini 3.8 Flash38.94%
28Claude Opus 4.738.46%
28Claude Sonnet 4 638.46%
28GPT-6.1 Sol38.46%
31Muse Spark 1 137.98%
31MiMo-V2.6-Flash37.98%
31Grok 4.537.98%
34GPT-5.6 Luna36.54%
35Qwen3.8 27b36.06%
36Gemini 3.7 Flash34.62%
37Glm 5.231.25%
38Gemini 3.5 Flash30.77%
39Deepseek V4 Flash 073130.29%
39GPT-6 Luna30.29%
41MiniMax M329.81%
42GPT-6 Sol28.85%
43Inkling28.36%
44Glm 5.127.89%
45Inkling Small25.48%
45Qwen3.7 Max25.48%
47Gemini 3.6 Flash25.00%
48Deepseek V4 Pro23.08%
49Gemini 3.1 Pro20.67%
50Gemini 3 Flash Preview18.27%
51Qwen3.7 Plus16.35%
52Mimo V2.5 Pro15.87%
52Kimi K2.5 Thinking15.87%
52Kimi K2.615.87%
55Grok 4.315.38%
55Ling 3.0 Flash Af Rc315.38%
55Nemotron 3 Ultra 550b A55b15.38%
58Qwen3.6 Plus14.90%
59Gemini 3.5 Flash Lite13.94%
59Grok 4.20 0309 Reasoning13.94%
61Gpt 5.4 Mini 2026 03 1712.50%
62Claude Haiku 4 5 20251001 Thinking10.58%
62MiniMax M2.710.58%
64Mimo V2.59.13%
64Mistral Medium 3.59.13%
66Gpt 5.4 Nano 2026 03 176.25%
67Mercury 2.54.33%
68Gemini 3.1 Flash Lite Preview3.37%
69Nemotron Lightning 3p5 30b A3b2.88%
70Laguna M.12.40%
71Laguna Xs.20.96%
72Ling 3.0 Flash 26070.00%

No published result tracked

9 of the 46 models on this site have no published number on this benchmark, so their cells in the home table stay blank rather than reading as zero.

Read this with

Benchmarks in the same category, which usually disagree with this one on purpose.

Sources

Every page used for this benchmark, read on 17 October 2026.