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.

MisuratoAggiornato 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.

I dati

Cross-Model Legal Benchmark - HAQQ's own measured benchmark scoring legal AI models out of 50 across legal task categories.
Model	Overall /50	Generale	Redazione di contratti	Ricerca giuridica	Spiegazione delle leggi	Contratto di lavoro	Redazione di memorandum	Contratto di licenza	Patti parasociali	Contratto di consulenza	Contratto commerciale	Redazione di NDA
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

Dati misurati - pre-elaborati dal dataset di utilizzo reale dell'Indice Legal AI di HAQQ (oltre 134.000 punti dati in 30 paesi) o dal benchmark legale cross-modello /50 proprietario di HAQQ.

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