Benchmark profile
Vals Harvey's Legal Agent Benchmark (Harvey's Legal Agent Benchmark)
Tests an agent's ability to complete legal work using documents, spreadsheets, presentations, and file-system tools
Data verifiedHow BenchLM shows Harvey's Legal Agent Benchmark
BenchLM mirrors the public Vals AI Harvey's Legal Agent Benchmark leaderboard captured from https://www.vals.ai/benchmarks/hlab and updated by Vals on July 17, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
Harvey's Legal Agent Benchmark 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.
Harvey's Legal Agent Benchmark score on Harvey's Legal Agent Benchmark — July 17, 2026
BenchLM mirrors the published harvey's legal agent benchmark score view for Harvey's Legal Agent Benchmark. Muse Spark 1 1 leads the public snapshot at 20.00% , followed by Grok 4.5 (12.92%) and Claude Fable 5 (11.25%). BenchLM does not use these results to rank models overall.
Muse Spark 1 1
Meta
meta/muse_spark_1_1
Grok 4.5
SpaceXAI
grok/grok-4.5
Claude Fable 5
Anthropic
anthropic/claude-fable-5
Harvey's Legal Agent Benchmark score table (24 models)
ScoreThe published Harvey's Legal Agent Benchmark snapshot places Muse Spark 1 1 first at 20.00%. The third row is 8.75 points behind. The broader top-10 range is 16.25 points, so the table still separates the published systems.
24 models have been evaluated on Harvey's Legal Agent Benchmark. 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. Harvey's Legal Agent Benchmark is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About Harvey's Legal Agent Benchmark
Year
2026
Tasks
Legal agent work across documents, spreadsheets, presentations, and files
Format
Accuracy score
Difficulty
Professional legal workflow automation
BenchLM mirrors the public Vals AI Harvey's Legal Agent Benchmark 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
Harvey's Legal Agent Benchmark 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 Harvey's Legal Agent Benchmark measure?
Tests an agent's ability to complete legal work using documents, spreadsheets, presentations, and file-system tools
Which model leads the published Harvey's Legal Agent Benchmark snapshot?
Muse Spark 1 1 currently leads the published Harvey's Legal Agent Benchmark snapshot with 20.00% harvey's legal agent benchmark score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on Harvey's Legal Agent Benchmark?
24 AI models are included in BenchLM's mirrored Harvey's Legal Agent Benchmark snapshot, based on the public leaderboard captured on July 17, 2026.
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