Cross-model benchmark

Cross-Model Legal Benchmark

Name: Cross-Model Legal Benchmark
Creator: HAQQ

HAQQ's own measured benchmark scoring legal AI models out of 50 across legal task categories.

MedidoAtualizado 2026-07-08

HAQQ measured 19 models across 11 legal task categories, each scored out of 50. HAQQ's own engine (Justinian) leads most categories, including 49/50 on the top-scoring tasks, but it's not a clean sweep: Spellbook edges it out on contract drafting (46 vs. 44), LexisNexis leads legal research (46 vs. 43), and ChatGPT scores highest on plain-language explanation (45 vs. 42). Practical takeaway: no single model dominates every task, so choice should follow the workflow, not a leaderboard rank.

Os dados

Cross-Model Legal Benchmark - HAQQ's own measured benchmark scoring legal AI models out of 50 across legal task categories.
Model	Overall /50	Geral	Redação de contratos	Pesquisa jurídica	Explicação de leis	Contrato de trabalho	Redação de memorandos	Contrato de licenciamento	Acordo de acionistas	Contrato de consultoria	Contrato comercial	Redação de NDAs
HAQQ (Justinian)	45.8	49	44	43	42	48	44	46	47	45	47	49
Claude Fable 5	42.7	45	45	41	43	43	41	42	42	42	41	45
Claude Opus 4.7	40.8	43	43	39	39	39	41	43	40	39	42	41
Mike OS	39.1	42	39	35	33	41	39	38	41	40	40	42
Harvey	37.9	38	40	32	27	42	34	39	44	38	43	40
DeepSeek v4 Pro	36.8	40	36	38	38	35	37	36	36	36	37	36
CoCounsel	36.6	37	38	40	31	37	42	35	37	34	35	37
Legora	35.9	33	42	27	26	40	30	40	39	41	38	39
ChatGPT 5.5	35.3	39	34	34	45	33	35	32	32	35	34	35
Claude + legal plugins	33.9	35	35	33	35	34	33	34	34	33	33	34
Gemini 3.1 Pro	32.9	36	32	36	41	30	32	31	30	30	31	33
Spellbook	32.9	27	46	18	20	38	20	41	35	37	36	44
LexisNexis +AI	32.0	36	29	46	28	30	38	28	31	27	29	30
Grok 4.3	30.7	33	31	26	36	28	29	29	28	31	35	32
Perplexity Sonar	27.2	29	22	43	34	24	28	23	23	25	24	24
Clio Duo	25.6	26	27	24	23	28	23	25	24	29	26	27
Meta Llama 4	23.8	24	23	23	29	23	24	22	22	24	23	25
Mistral 3	22.4	22	25	20	25	21	22	24	20	22	22	23
Qwen 3 Plus	18.7	19	18	21	22	17	18	18	17	19	18	19

Dados medidos - pré-processados a partir do conjunto de dados de uso real do Legal AI Index da HAQQ (mais de 134.000 pontos de dados em 30 países) ou do benchmark jurídico cross-model próprio da HAQQ /50.

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