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      • AI Autonomy Scores by Task
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    1. Home
    2. Legal AI Index
    3. AI Autonomy Scores by Task

    AI Autonomy Scores by Task

    How autonomously AI can handle each legal task, on a 1-5 scale with confidence intervals.

    MeasuredUpdated 2026-07-08

    AI Autonomy Levels Across Legal Tasks

    Mean autonomy score (1–5) per task with 95% confidence intervals. Higher scores indicate more autonomous AI operation.

    1 = Human-directed 3 = Collaborative 5 = Fully autonomous
    Read & rewrite legal documents
    3.0
    Advise on business transactions & lawsuits
    3.4
    Advise on financial & legal matters
    2.8
    Advise on market conditions & legal requirements
    2.9
    Obtain patents & meet legal requirements
    3.0
    Modify compensation policies for compliance
    3.0
    Analyze building codes and by-laws
    2.9
    Analyze probable outcomes using legal precedents
    3.1
    Determine liability per laws and precedents
    2.9
    Examine legal documents for court adherence
    2.9
    Examine records for compliance
    2.9
    Explain tax laws
    2.8
    Gather & analyze legal research data
    2.8
    Interpret & explain policies and laws
    2.8
    Interpret laws, rulings, and regulations
    2.9
    12345

    Measured data - pre-processed from HAQQ's real Legal AI Index usage dataset (134,000+ data points across 30 countries) or HAQQ's own /50 cross-model legal benchmark.

    Across 15 legal tasks in HAQQ's usage data, autonomy scores mostly cluster between 2.78 and 3.10 on a 1-5 scale, with no task reaching consistent independent execution (4+). One task, advising on business transactions and lawsuits, stands higher at 3.38, though its wide confidence interval (2.87-4.09) signals inconsistent rather than reliably strong performance. The lowest, explaining tax law, sits at 2.78. The pattern reads as collaborative, not autonomous: AI functions as a capable assistant across the legal workflow, not a substitute for judgment on any single task.
    Back to the Legal AI Index reportAll research graphs

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