CASE STUDY
1,400 Pages/Hour: Law Practice AI Document Review at Scale
AI reduced missed issues by 78% and accelerated case prep for a solo PI attorney.


- 1PI Attorney
- 1.4KPages Reviewed Per Houra
- 78%Fewer Missed Issues
- 11.7xFaster Reviews
Solo PI Attorney
Document Review Automation
This case study shows how a solo PI attorney increased document review speed from 120 pages per hour to 1,400 pages per hour and reduced missed issues by 78% using Law Practice AI for document review.
Instead of manually reading through records looking for key issues, the attorney used Law Practice AI to replace that process with automated issue flagging, fact extraction, and document prioritization.
Goals & Objectives
The attorney wanted to review documents faster and catch more issues without spending more time on manual review.
To achieve this, the attorney turned to Law Practice AI to automate the review process and improve accuracy across their caseload.
To achieve this, the attorney turned to Law Practice AI to automate the review process and improve accuracy across their caseload.
The Problem
Manual document review was slow and error-prone. At 120 pages per hour, working through a large record set took significant time and still left room for issues to be missed.
For a solo PI attorney managing a full caseload, that combination of slow speed and inconsistent accuracy created real risk. Missed issues meant weaker cases, and slow review meant delayed prep across the board.
For a solo PI attorney managing a full caseload, that combination of slow speed and inconsistent accuracy created real risk. Missed issues meant weaker cases, and slow review meant delayed prep across the board.
The Solution
Law Practice AI automated the document review workflow for the firm, scanning records at scale and surfacing the most important issues and facts before the attorney ever opens a file.
Issue Flagging
Law Practice AI scans every document and automatically flags issues relevant to the case. Your attorney reviews a prioritized list of findings instead of reading every page from scratch, cutting review time dramatically.
Fact Extraction
The system extracts key facts from across the document set and organizes them into a structured format ready for use in case strategy, demand letters, and litigation prep. Nothing gets buried in a stack of records.
Document Prioritization
Law Practice AI ranks documents by relevance so your attorney works through the most important records first. Time is spent where it matters most, and lower-priority documents get flagged for later rather than reviewed in full upfront.
The Results
The attorney increased document review speed from 120 pages per hour to 1,400 pages per hour, an 11.7x improvement, and reduced missed issues by 78%. Case prep became faster and more thorough at the same time.
Metric | Before | After | Improvement |
|---|---|---|---|
Review Speed | 120 pages/hr | 1,400 pages/hr | 11.7x Faster |
Interim Speed | 120 pages/hr | 700 pages/hr | Nearly 6x faster |
Missed Issues | High | 78% reduced | Significantly lower |