Best AI for Legal in 2026

Rankings of the best AI models for legal tasks. Compare models by legal knowledge, contract analysis, and jurisprudence capabilities.

71 models18 benchmarks
Updated 71 models reviewedMethodology

The short answer

The best AI for legal right now is Qwen3.7 Max by Alibaba Cloud / Qwen Team, followed by Qwen3.6 Plus — ranked by legal knowledge, contract analysis, and jurisprudence benchmarks.

Best Overall
Qwen3.7 MaxHighest combined arena + benchmark score
Best Value
MiniMax M2.1Cheapest model still in the top 10
Best Free
Qwen3.7 MaxStrongest model with a usable free tier
Best Open-Source
Qwen3.7 MaxTop model you can download and self-host

At a glance

  • Qwen3.7 Max$1.25 / $3.75

    Alibaba's newest — strongest open-weight Asian frontier

    Strength
    Excellent multilingual coverage (50+ languages)
    Watch out
    Western provider coverage lags
  • Qwen3.6 Plus$0.50 / $3.00

    Mature Qwen generation — strong all-rounder

    Strength
    Open weights, broad language support
    Watch out
    3.7 line now ahead on the hardest tasks
  • Qwen3.5-397B-A17B$0.60 / $3.60

    Earlier Qwen 3 — still capable, especially MoE variants

    Strength
    MoE architecture gives strong quality at low active-parameter cost
    Watch out
    Newer versions lead it
  • MiniMax M2.1$0.30 / $1.20

    Lean Chinese frontier — strong on long context

    Strength
    1M+ context window with usable recall
    Watch out
    Limited Western provider coverage
  • Qwen3.5-122B-A10B$0.40 / $3.20

    Earlier Qwen 3 — still capable, especially MoE variants

    Strength
    MoE architecture gives strong quality at low active-parameter cost
    Watch out
    Newer versions lead it
  • Moonshot AI — frontier-adjacent quality with strong long context

    Strength
    Consistently top-5 on research and long-context retrieval
    Watch out
    Newer to Western providers; latency varies
  • Qwen3.6-27B$0.60 / $3.60

    Mature Qwen generation — strong all-rounder

    Strength
    Open weights, broad language support
    Watch out
    3.7 line now ahead on the hardest tasks

Capsule reviews of the top models

  1. 01
    Alibaba Cloud / Qwen Team

    Alibaba's newest — strongest open-weight Asian frontier

    Strengths
    • Excellent multilingual coverage (50+ languages)
    • Aggressive open-weight releases
    Watch-outs
    • Western provider coverage lags

    When to useMultilingual workloads; open-weight evaluations.

    Input
    $1.25/ M tokens
    Output
    $3.75/ M tokens
    Context
    1.0Mtokens
    License
    proprietary
  2. 02
    Alibaba Cloud / Qwen Team

    Mature Qwen generation — strong all-rounder

    Strengths
    • Open weights, broad language support
    • Competitive on coding benchmarks
    Watch-outs
    • 3.7 line now ahead on the hardest tasks

    When to useCross-language deployment; cost-throttled work.

    Input
    $0.50/ M tokens
    Output
    $3.00/ M tokens
    Context
    1.0Mtokens
    License
    proprietary
  3. 03
    Alibaba Cloud / Qwen Team

    Earlier Qwen 3 — still capable, especially MoE variants

    Strengths
    • MoE architecture gives strong quality at low active-parameter cost
    Watch-outs
    • Newer versions lead it

    When to useOpen-weight evaluation; specific fine-tunes.

    Input
    $0.60/ M tokens
    Output
    $3.60/ M tokens
    Context
    262Ktokens
    License
    apache_2_0
  4. 04
    MiniMax

    Lean Chinese frontier — strong on long context

    Strengths
    • 1M+ context window with usable recall
    • Cheap per-token at quality
    Watch-outs
    • Limited Western provider coverage

    When to useLong-document workflows where price-per-million-tokens matters.

    Input
    $0.30/ M tokens
    Output
    $1.20/ M tokens
    Context
    1.0Mtokens
    License
    mit
  5. 05
    Alibaba Cloud / Qwen Team

    Earlier Qwen 3 — still capable, especially MoE variants

    Strengths
    • MoE architecture gives strong quality at low active-parameter cost
    Watch-outs
    • Newer versions lead it

    When to useOpen-weight evaluation; specific fine-tunes.

    Input
    $0.40/ M tokens
    Output
    $3.20/ M tokens
    Context
    262Ktokens
    License
    apache_2_0
  6. 06
    Moonshot AI

    Moonshot AI — frontier-adjacent quality with strong long context

    Strengths
    • Consistently top-5 on research and long-context retrieval
    • Aggressive context-window engineering
    Watch-outs
    • Newer to Western providers; latency varies

    When to useLong-context document work; research synthesis.

As of June 2026, Qwen3.7 Max leads legal benchmarks with a score of 60.8, followed by Qwen3.6 Plus (55.0) and Qwen3.5-397B-A17B (54.0). Legal is a YMYL (Your Money or Your Life) domain — our rankings apply the strictest accuracy standards and heavily penalize confident but incorrect legal assertions.

Ranked by 18 benchmarks including LegalBench (diverse reasoning tasks), bar exam performance (MBE + essay), and contract analysis accuracy, testing both legal knowledge and applied reasoning.

  • Several top models score above passing thresholds on the Uniform Bar Exam, including multiple-choice and essay sections. However, bar exam performance doesn't translate directly to legal competence — models miss nuanced issues that experienced attorneys catch, especially around jurisdiction-specific rules.

  • AI significantly accelerates contract review — identifying standard clauses, flagging unusual terms, extracting key dates and obligations. Top models catch 85-95% of issues human reviewers identify. Use as a first pass to speed up review, not as a replacement for attorney judgment on complex or novel provisions.

  • No. AI can assist with research, document drafting, contract review, and legal analysis, but cannot replace the judgment, ethical obligations, client relationship, and courtroom skills of a licensed attorney. AI tools are increasingly used BY lawyers to increase efficiency, not to replace them.

  • Models with strong long-context performance and legal reasoning scores. For case law research specifically, models with built-in search capabilities outperform those relying on training data alone — legal databases update constantly and training cutoffs mean static models may cite outdated precedents.

  • Yes, for standard documents like NDAs, employment agreements, and basic contracts. Quality varies on complex or unusual provisions. Always have a qualified attorney review AI-drafted legal documents — the cost of a legal error far exceeds the time saved by skipping review.