Vals Legal Research Bench (Legal Research Bench)
Evaluating agents on legal research tasks across diverse areas of US law
Data verified 31 confirmed releases in the last 30 daysSee provider release alertsHow BenchLM shows Legal Research Bench
BenchLM mirrors the public Vals AI Legal Research Bench leaderboard captured from https://www.vals.ai/benchmarks/legal_research and updated by Vals on September 10, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
Legal Research Bench is display only on BenchLM. Vals proprietary or Vals-hosted aggregate views are useful context, but BenchLM does not use them as weighted ranking inputs or as a replacement for benchmark-native source records.
Snapshot
Legal Research Bench score on Legal Research Bench — September 10, 2026
We mirror the published legal research bench score view for Legal Research Bench. Muse Spark 1.3 Max leads the public snapshot at 55.29%, followed by Claude Opus 5 (55.29%) and Claude Fable 5.1 (55.29%). We do not use these results to rank models overall.
Muse Spark 1.3 Max
Meta
max reasoning
Claude Opus 5
Anthropic
Claude Fable 5.1
Anthropic
59 modelsExternal benchmark mirrorsCurrentDisplay onlyUpdated September 10, 2026
Legal Research Bench score table (59 models)
ScoreThe published Legal Research Bench snapshot places Muse Spark 1.3 Max first at 55.29%. The third row is 0.00 points behind. The broader top-10 range is 11.06 points, so the table still separates the published systems.
59 models have been evaluated on Legal Research Bench. The benchmark falls in the External benchmark mirrors category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. Legal Research Bench is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About Legal Research Bench
Year
2026
Tasks
US-law legal research tasks
Format
Accuracy score
Difficulty
Professional legal research
BenchLM mirrors the public Vals AI Legal Research Bench leaderboard as display-only external evidence. The captured snapshot preserves overall scores, task-level scores where Vals publishes them, uncertainty, latency, and cost-per-test metadata. It is excluded from BenchLM weighted rankings.
BenchLM freshness & provenance
Version
Legal Research Bench 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does Legal Research Bench measure?
Evaluating agents on legal research tasks across diverse areas of US law
Which model leads the published Legal Research Bench snapshot?
Muse Spark 1.3 Max currently leads the published Legal Research Bench snapshot with 55.29% legal research bench score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on Legal Research Bench?
The September 10, 2026 snapshot contains 59 AI models.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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