How legal AI is used
Legal AI Request Clusters
The largest clusters of real legal requests sent to AI, by volume.
Across measured HAQQ usage data, the two largest request clusters are both document-processing tasks: extracting and structuring information from legal documents (1,987 requests) and classifying and extracting from business/legal documents (1,200). Drafting and reviewing contracts, the next distinct legal task, trails at 980. A large software-debugging cluster (1,765) also appears in the mix, alongside employment law queries (870) and case law analysis (750). The pattern points to document processing, not drafting, as the dominant legal AI workload today, with legal and general-purpose technical tasks still overlapping in practice.
Die Daten
| Category | Requests |
|---|---|
| Extract & structure legal document information | 1,987 |
| Debug and fix software bugs | 1,765 |
| Classify & extract from business/legal documents | 1,200 |
| Draft and review legal contracts | 980 |
| Assist with employment law queries | 870 |
| Analyze case law and precedents | 750 |
| Interpret regulatory compliance requirements | 680 |
| Review immigration law procedures | 620 |
| Draft corporate governance documents | 590 |
| Advise on intellectual property matters | 540 |
| Prepare tax-related legal documents | 510 |
| Research real estate law requirements | 480 |
| Summarize court decisions and rulings | 450 |
| Draft legal briefs and motions | 420 |
| Explain criminal law procedures | 380 |
Gemessene Daten - vorverarbeitet aus HAQQs tatsächlichem Legal AI Index Nutzungsdatensatz (über 134.000 Datenpunkte in 30 Ländern) oder HAQQs eigenem /50 Cross-Modell Legal Benchmark.
Verwandte Forschung
- Top Legal Tasks by AI UsageThe legal tasks lawyers most often hand to AI, ranked by share of usage.
- Prompt Type DistributionWhat lawyers ask AI to do, split across research, drafting, analysis and more.
- Work vs. Personal Use CasesHow legal AI usage splits between professional work, personal and coursework.