Dirt Legal makes vehicle registration quick and easy for customers across the U.S. They handle everything from getting plates in just a few days to titles in a couple of weeks.
As demand increased, they realized their internal data process and billing workflows needed an upgrade to keep up without adding overhead.
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Here’s where things got tricky. Dirt Legal was spending hours manually digging through complex government documents to pull out all the important info for billing and processing. It was a slow, frustrating process prone to human-error. They knew it would hold back their ability to grow and provide a premium customer experience.
To keep momentum and improve operational flow, Dirt Legal reached out to explore whether AI could streamline their internal workflows.
We introduced AI PDF Data Extraction, a custom-built artificial intelligence workflow leveraging Google’s Large Language Model, Gemini, to scan through various documents, intelligently extract the required data, and push it directly into their system. The data is then automatically structured for billing, tracking, and generating invoice links.
By eliminating manual review and data entry, the system removed friction, reduced errors, and enabled near-instant invoice generation.No more bouncing between email threads, spreadsheets, and invoice tools, just reliable, real-time automation that accelerates cash flow, boosts accuracy, and frees up the team to focus on more strategic work.
No more bouncing between email threads, spreadsheets, and invoice tools, just reliable,
real-time automation that accelerates cash flow,
boosts accuracy, and frees up the team to focus on more strategic work.By eliminating manual review and data entry, the system removed friction, reduced errors, and enabled near-instant invoice generation.
Dirt Legal didn’t wait for problems to pile up. They identified an inefficiency and acted early, building a smarter system before it became an issue.
By leveraging AI PDF Data Extraction, they removed a future bottleneck and created a faster, more resilient back office without hiring more people or sacrificing quality.
Now their internal systems run as smoothly and quickly as customers expect, helping get vehicles get back on the road legally without the usual delays and headaches.
Every business has both bottlenecks and opportunities. The difference lies in how you respond to them.
Dirt Legal chose to fix the system instead of forcing themselves and their customers to “live with it” and simply work harder.
Have a challenge or opportunity you think AI could solve?
Let’s talk.
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