AI vs. human capability

Legal Productivity Benchmarks

Name: Legal Productivity Benchmarks
Creator: HAQQ

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

IllustrativeUpdated 2026-07-08

Legal AI Productivity Benchmarks

Before vs. after AI implementation: detailed time savings across 8 core legal workflows, from contract review to e-discovery.

45%Contract Reviewtime savings

38%Legal Researchtime savings

52%Due Diligencetime savings

35%Brief Draftingtime savings

Illustrative estimate - a directional figure for scenario framing, not a measured benchmark. Do not read these as measured per-vendor results.

Across eight legal workflows, the dataset shows a before-and-after time split with AI assistance layered in. Directionally, the largest gains cluster in document-heavy tasks: document summarization drops from 2.0 to 0.7 hours (65%) and e-discovery review from 8.0 to 3.2 hours (60%), while client communication moves less, from 1.8 to 1.3 hours (28%). This suggests AI compresses review and synthesis time more than relationship-driven work, pointing to triage and first-pass review as the more defensible near-term deployment, with lawyers retained for judgment calls and client-facing work.

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