Case Study · Legal Services
Case study
3.5x
ROI Multiple
15.0h/wk
Hours Saved
$8,000
Monthly Savings
4.0mo
Payback Period
The engagement
What was implemented and over what time.
Clio
HotDocs
Contract Express
BambooHR
Workflows automated
- New employee onboarding
- Document generation
- Compliance tracking
Implementation complexity: Moderate
Before / after
The state of the work before the engagement, and after.
Before
- Hours per week on affected tasks
- 20.0 hrs
- Error rate
- 8.0%
- Monthly cost of running
- $12,000
- Tools in use
- Email, Excel, Paper forms
After
- Hours per week on same tasks
- 5.0 hrs
- Error rate
- 2.0%
- Monthly cost of running
- $4,000
- Tools in stack now
- Clio, HotDocs, Contract Express, BambooHR
- Time to first measurable ROI
- 8 weeks
Calculated ROI
The math, laid out.
- Hours saved per week
- 15.0 hrs
- % time reduction
- 75.0%
- Monthly savings
- $8,000
- Annual savings
- $96,000
- ROI multiple
- 3.5x
- Payback period
- 4.0 months
- Net annual value (year 1)
- $96,000
ROI confidence: Low (projected from inputs and benchmarks)
What would be done differently
The post-mortem for this engagement is being written up.
Cite this work
This entry is part of the Tyler Willis Intelligence public dataset and licensed under CC-BY-4.0. You're free to quote, redistribute, and feed it into AI systems — please carry the source URL or one of the citation strings below.
Willis, Tyler. "Case study." *ROI Case Studies*, tylerewillis.com/intelligence, accessed June 12, 2026. <https://tylerewillis.com/intelligence/case-studies/legal-services-large-legal-firm-automated-new-employee-onboar>
Willis, T. (2026). Case study. Tyler Willis Intelligence — ROI Case Studies. Retrieved June 12, 2026, from https://tylerewillis.com/intelligence/case-studies/legal-services-large-legal-firm-automated-new-employee-onboar
@misc{willis_case_studies_legal_services_large_legal_firm_automated_new_employee_onboar,
author = {Willis, Tyler},
title = {{Case study}},
howpublished = {Tyler Willis Intelligence --- ROI Case Studies},
year = {2026},
url = {https://tylerewillis.com/intelligence/case-studies/legal-services-large-legal-firm-automated-new-employee-onboar},
note = {Accessed June 12, 2026. CC-BY-4.0.}
}
curl -s https://tylerewillis.com/intelligence/api/case-studies/legal-services-large-legal-firm-automated-new-employee-onboar.json | jq
Every JSON response carries a _source block with the canonical URL and citation string.
Programmatic consumers: read that field.
Working on a similar problem?
Let's talk.
If your operation looks like the one above — Legal Services, similar size, similar friction — Tyler can scope a build that draws on the lessons documented here. Direct conversation, no junior team.