CASE STUDY
$1.2M Annual Uplift From Law Practice AI Case Qualification
AI scoring improved lead quality and increased signed cases.


- 12Attorney PI Firm
- 57Signed Cases Per Month
- +150%Increase in Revenue
- $1.2MAnnual Uplift
12-Attorney PI Firm
Case Evaluation & Qualification
This case study shows how a 12-attorney PI firm grew signed cases from 38 to 57 per month and added $1.2M in annual revenue using Law Practice AI for case evaluation and qualification.
Instead of relying on inconsistent manual screening, the firm used Law Practice AI to replace that process with AI lead scoring, automated intake, and structured attorney review.
Goals & Objectives
The firm wanted to improve how incoming leads were evaluated and increase the number of high-quality cases being signed each month.
To achieve this, the firm turned to Law Practice AI to bring consistency and structure to their qualification process.
To achieve this, the firm turned to Law Practice AI to bring consistency and structure to their qualification process.
The Problem
The firm was dealing with a high volume of incoming leads but had no consistent way to evaluate them. Qualification depended on who was handling the intake, which meant strong cases were sometimes missed and weaker ones moved forward.
The inconsistency created two problems at once. It reduced the quality of cases being signed and made it harder to scale intake without adding more people to the screening process.
The inconsistency created two problems at once. It reduced the quality of cases being signed and made it harder to scale intake without adding more people to the screening process.
The Solution
Law Practice AI gave the firm a structured, automated qualification workflow that scored every lead against consistent criteria and routed only the strongest cases to attorney review.
Lead Scoring
Law Practice AI applies an automated scoring model to every incoming lead based on case viability criteria. Your team gets a clear, consistent ranking for every inquiry so the best cases always move to the top of the queue.
Automated Intake
The system captures and processes intake information automatically, removing the manual back-and-forth that slowed down early qualification. Every lead is evaluated against the same standard, every time.
Attorney Review Queue
Once leads are scored and processed, attorneys receive a prioritized review queue containing only pre-qualified cases. Time spent on weak leads drops, and the focus shifts entirely to cases worth signing.
The Results
The firm grew signed cases from 38 to 57 per month, a 50% increase, and grew incremental monthly revenue from $190,000 to $475,000. The improvement in lead quality delivered $1.2M in annual uplift without adding intake staff.
Metric | Before | After | Improvement |
|---|---|---|---|
Signed Cases/Month | 38 | 57 | 50% more cases |
Interim Signed Cases | 38 | 48 | 26% more cases |
Incremental Revenue | $190k | $475k | 150% Increase in Revenue |