Case Study: Law Firm Saves 20 Hours Per Week with AI Automation
This case study documents the AI automation implementation for a 5-attorney personal injury law firm in the Southeast United States. The firm had been growing but was hitting an operational ceiling — the intake team was overwhelmed, response times were slipping, and qualified leads were falling through the cracks.
Note: Firm name and identifying details are anonymized per client agreement.
The Situation Before Automation
The firm handled approximately 180 new inquiries per month across three channels: website contact form (45%), phone calls (40%), and referrals (15%).
Key metrics at baseline:
- Average inquiry response time: 4.2 hours
- After-hours inquiries going unanswered until next morning: 52%
- Intake-to-consultation conversion rate: 19%
- New cases per month: 22
- Staff hours spent on intake per week: 28 hours
The intake coordinator was spending the majority of her day on the phone — collecting basic information that could be gathered automatically, and playing phone tag with prospects who had already contacted other firms.
The Automation We Implemented
We built a three-part system over four weeks:
Part 1: Intelligent Intake Form
We replaced the static "Contact Us" form with a branching intake flow built in Typeform, connected to Make.com.
The form asked about accident type, timeline, prior medical treatment, and contact information. Make.com scored each submission based on case quality criteria and routed:
- High-value cases (recent accident + medical treatment): Immediate SMS to attorney's cell + automatic calendar booking link sent to prospect
- Mid-tier cases: Intake coordinator email + same-day callback queue
- Unqualified cases: Polite automated response explaining why the firm could not help, with referral suggestions
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Part 2: AI Response and Appointment Scheduling
Within 60 seconds of form submission, the prospect received: "Hi [Name], thank you for reaching out to [Firm]. We've received your information and a member of our team will be in touch shortly. In the meantime, if you'd like to speak with an attorney today, you can book a free 20-minute consultation here: [Calendly link]"
For after-hours submissions, this message arrived immediately — eliminating the overnight wait that was costing them 52% of potential after-hours conversions.
Part 3: Follow-Up Sequence for No-Bookings
Prospects who received the initial message but did not book a consultation entered a 5-day follow-up sequence:
- Day 1: Follow-up SMS with a different angle ("We handle cases like yours regularly — here's what to expect from the process")
- Day 3: Email with FAQ about the personal injury process
- Day 5: Final outreach: "We want to make sure you get the help you need. Our consultation is completely free and takes 20 minutes. Here's a direct link: [link]"
Results After 60 Days
| Metric | Before | After | Change |
|---|---|---|---|
| Avg inquiry response time | 4.2 hours | 58 seconds | -98% |
| After-hours conversion rate | 8% | 41% | +413% |
| Intake-to-consult conversion | 19% | 31% | +63% |
| New cases per month | 22 | 30 | +36% |
| Staff intake hours per week | 28 | 8 | -71% |
The intake coordinator's time dropped from 28 to 8 hours per week on intake tasks. She now focuses on consultation preparation and client communication for active cases.
Revenue Impact
Average case value: $28,000 Additional cases per month: 8 Additional monthly revenue attributed to automation: $224,000
Monthly automation cost: $1,800
ROI: 124x
What Made It Work
When we asked the firm's managing partner what he attributed the success to, he cited three things:
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Speed to response. "We are now usually the first firm to respond to an inquiry. That matters more than we realized."
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After-hours capture. "Almost half of our inquiries came in after 5 PM. We were ignoring them. Now we capture almost all of them."
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Consistent follow-up. "The follow-up sequence books consultations from people who would have forgotten about us by day two."
Lessons for Agencies
This implementation succeeded because we started with the intake coordinator's biggest pain point and built outward from there. We did not try to automate everything at once. We also spent significant time on the intake form logic — the routing and scoring is what drives the quality of the results.
For law firm pitches: lead with the after-hours conversion stat. Most attorneys have no idea how many leads they are losing overnight.
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