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    Legal AI Index

    The Legal AI Research Hub

    The Statista for legal AI: every chart, benchmark and study behind the HAQQ Legal AI Index, in one place. Explore the data on how AI is actually used, how well it performs, and where the market is going.

    Resource Hub

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    • Legal AI Skills338
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    Three studies, one index

    The studies behind the Index

    Cross-Model Benchmark

    HAQQ's own measured benchmark: 19 legal AI models scored out of 50 across 11 legal task categories.

    Explore

    Legal AI Index

    The full data report: 134,000+ data points across 30 countries and 33 sections of analysis.

    Explore

    Legal Agent Study

    All-pass rubric grading of AI agents on long-horizon legal work across 24 practice areas.

    Explore

    A note on naming: the Cross-Model Benchmark scores 19 models out of 50 across 11 legal task categories. It is distinct from our consumer benchmark of 100 real legal questions and our 300-task commercial benchmark, which are separate studies published on the blog.

    Browse the data

    Every graph in the Index

    29 interactive charts across the legal AI landscape - click any graph for the data, methodology and sourcing.

    How legal AI is used

    What lawyers actually ask AI to do, across tasks and prompt types.

    Measured

    Top Legal Tasks by AI Usage

    The legal tasks lawyers most often hand to AI, ranked by share of usage.

    Measured

    Legal AI Request Clusters

    The largest clusters of real legal requests sent to AI, by volume.

    Measured

    Prompt Type Distribution

    What lawyers ask AI to do, split across research, drafting, analysis and more.

    Measured

    Work vs. Personal Use Cases

    How legal AI usage splits between professional work, personal and coursework.

    Illustrative

    Prompt Engineering Impact

    How prompting technique changes accuracy, completeness and relevance of legal answers.

    AI vs. human capability

    Autonomy, time savings and where human judgment still leads.

    Measured

    AI Autonomy Scores by Task

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

    Measured

    Time Savings by Legal Task

    Median hours saved per task when a lawyer works with AI versus alone.

    Measured

    Tasks That Still Need a Human

    The share of each legal task that professionals say still requires human judgment.

    Measured

    AI vs. Human Education Level

    The years of education AI output is judged equivalent to, task by task, versus humans.

    Illustrative

    Legal Productivity Benchmarks

    Before-and-after time per workflow, with the productivity gain from AI.

    Cross-model benchmark

    HAQQ's measured /50 benchmark of legal AI models.

    Measured

    Cross-Model Legal Benchmark

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

    Global footprint

    Where legal AI demand concentrates around the world.

    Measured

    Legal AI Demand by Country

    Where legal AI requests concentrate, ranked by country-level volume.

    Measured

    Global Coverage Map

    A world map of legal AI request volume across every tracked jurisdiction.

    Market & economics

    Market size, funding, pricing and the ROI of legal AI.

    Cited

    Legal AI Market Growth

    The legal AI market size in USD from 2020 through forecasted 2030.

    Illustrative

    Legal AI Investment & Funding

    Venture funding into legal AI categories over time, in USD millions.

    Illustrative

    Competitive Landscape Map

    Legal AI vendor categories, vendor counts and growth rates across the market.

    Illustrative

    AI Pricing & Monetization

    How legal AI is priced - subscription, consumption, outcome-based and hybrid.

    Illustrative

    ROI & Cost Analysis

    Legal spend with and without AI, by firm size and per task.

    Adoption & maturity

    How fast firms are adopting, and how agentic the workflows get.

    Illustrative

    Legal AI Adoption Timeline

    Adoption curves for early adopters, mainstream firms and laggards over time.

    Illustrative

    Legal AI Maturity Model

    The five stages of legal AI maturity and where firms sit across them.

    Illustrative

    Agentic AI in Law

    How far firms have progressed with autonomous, multi-step legal AI agents.

    Illustrative

    Workflow Automation Potential

    Current versus potential automation across core legal workflows.

    Illustrative

    AI Spend & Budget Allocation

    How legal AI budgets are growing and where the money goes.

    Illustrative

    Multi-Model Strategy in Legal

    How many AI models firms run, and the criteria they weigh when choosing.

    Trust, risk & security

    Hallucination rates, client trust and vendor security posture.

    Illustrative

    Risk & Hallucination Rates

    Estimated error rates across legal tasks, highest for citation and jurisdiction work.

    Illustrative

    Client Trust & Satisfaction

    Trust, satisfaction and reuse rates for AI across legal work products.

    Cited

    Data Security & Compliance

    Publicly documented security certifications across major AI providers.

    Workforce & outlook

    Role transformation and the forward view of legal work.

    Illustrative

    Workforce Impact & Role Change

    AI exposure, augmentation and outlook across legal roles.

    Illustrative

    Future Outlook & Projections

    Projected AI penetration across drafting, research, compliance and litigation through 2030.

    Part of the HAQQ Legal AI Index

    Cross-Model Benchmark

    HAQQ's measured benchmark scoring legal AI models out of 50.

    Legal AI Index

    The full data report on how AI is used across the legal ecosystem.

    Legal Agent Study

    All-pass rubric grading of AI agents on long-horizon legal work.

    You are here

    Research Hub

    Browse every legal AI research graph in one place.

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