Benchgen

Legal Research Bench — Results

RankModelScore
1gemini-4-carbon55.77
2claude-fable-5-155.3
3claude-opus-555.3
4claude-fable-5-155.3
5claude-opus-555.3
6gemini-4-argon54.8
7gemini-4-argon54.8
8kimi-k344.2
L

Legal Research Bench

1 phaseActive

Vals AI agentic legal research benchmark: US federal and state law across 8 practice areas, with case law search, web search and document retrieval, graded against a rubric. Metric: % all-pass.

Overview

Category Metric Saturation Created

Leaderboard arXiv

Quick answer: Legal Research Bench is Vals AI's benchmark for agentic US legal research: an agent searches case law and the web, finds the governing statutes and precedent, and applies them to a fact pattern. An answer counts only if it meets every rubric item. Three models share the top score of 55.3% (Vals AI, October 2026).

At a Glance

What it tests: Multi-step legal research across federal and state law: finding statutes and case law, applying precedent to a set of facts, and synthesizing across jurisdictions or regulatory regimes.

Why it matters: Legal research is where citation errors and missed precedent are costly. Law firms are listed as partners in evaluation, and the strict all-pass metric rewards complete answers rather than partly right ones.

Known limitations: Vals AI lists the benchmark as proprietary and, like its other proprietary benchmarks, keeps the test questions private, so outside teams (Benchgen included) cannot reproduce the scores; they can only be mirrored. Grading is done by an LLM judge against a rubric, and the benchmark covers US law only.

Questions span eight practice areas: administrative and regulatory, business and commercial, civil litigation, constitutional and civil rights, criminal, family, health, and immigration. The agent has case law search, web search and document retrieval, and has to research the question end to end before answering.

Benchmark Specifications

FieldValue
Task categoryAgent / legal research
CoverageUS federal and state law, 8 practice areas
Agent toolsCase law search, web search, document retrieval
Metric% all-pass (every rubric item met); partial credit also reported
GradingLLM judge against an expert rubric
Test setProprietary, questions not public
SaturationLow
Created byVals AI
Partners in evaluationFisher Phillips, McDermott, Reed Smith, LegalTech Hub
Leaderboardvals.ai/benchmarks/legal_research

Each answer is checked against a rubric written for that question. Under the primary all-pass metric, a question counts as correct only if the answer satisfies every rubric item. A secondary partial-credit score gives the share of rubric points earned. An LLM judge does the grading.

State-of-the-Art Results

Vals AI leaderboard, all-pass, updated 2026-10-12:

RankModelScoreSourceDate
1Muse Spark 1.3 Max55.3%Vals AI2026-10
1Claude Opus 555.3%Vals AI2026-10
1Claude Fable 5.155.3%Vals AI2026-10
4Gemini 4 Argon54.8%Vals AI2026-10
5Wonder Full53.4%Vals AI2026-10

Also on the Benchgen leaderboard: Kimi K3 44.2%, as reported by Moonshot AI in July 2026.

No Benchgen runs. The questions are not public, so the scores above are mirrored from Vals AI and model developers and cannot be re-run on Benchgen.

BenchmarkWhat it testsSaturation
Legal Research BenchAgentic US legal research with case law searchLow
Harvey Lab-AALegal knowledge-work qualityLow
DeepSearchQAMulti-hop web research & synthesisLow
ResearchRubricsRubric-graded research report qualityLow

The official questions are private, so the leaderboard score cannot be reproduced outside Vals AI. On Benchgen you can build a rubric-graded legal research evaluation from your own questions and jurisdictions and track your agent against it over time.

Frequently Asked Questions

What is Legal Research Bench? Legal Research Bench is a Vals AI benchmark that tests AI agents on multi-step US legal research across eight practice areas, using case law search, web search and document retrieval.
What does a good score look like on Legal Research Bench? The best all-pass score is 55.3%, shared by Muse Spark 1.3 Max, Claude Opus 5 and Claude Fable 5.1 (October 2026). Roughly half of the questions still defeat the best agents.
Who created Legal Research Bench? Vals AI, with Fisher Phillips, McDermott, Reed Smith and LegalTech Hub as partners in evaluation. The paper is at arxiv.org/abs/2610.00609.
Can I reproduce the leaderboard scores? No. Vals AI keeps the questions private, which keeps them out of training data but means only Vals AI can score them. Benchgen mirrors the published numbers.