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Writing demand letters was labor-intensive
Crafting effective, thorough demand letters was a labor-intensive process for McCready Law, with attorneys manually sorting through stacks of medical records. The firm established an automated process for drafting demand letters, similar to a template, based on the medical treatment in the case.
Even with streamlined systems in place, efficiency remained a struggle. Attorneys still had to sift through pages and pages of medical records, bills, and treatments, and they could risk missing something important.
While demand letters can be somewhat formulaic, it takes time and finesse to ensure you include all the necessary details and can articulate your client’s experience—something that can’t be templatized.
“It’s not a matter of just sending all the records and bills. It requires analysis,” says Michael McCready, Founder and Managing Partner at McCready Law. “We tried to be as efficient as possible, and we were able to crank out a lot of demands, but it wasn’t anywhere near what we get with EvenUp.”
Streamlining the demand letter process and improving accuracy
Enter EvenUp—a game-changer for McCready Law. Instead of hours spent poring over records, McCready Law could use EvenUp’s AI-powered platform to generate demand letters with unprecedented speed and accuracy.
“With EvenUp, we get a demand letter that’s between 75%-95% done. It still requires a bit of editing, and different lawyers have different ways they like to do things. But it saves a lot of time. And the fact that AI flags bills or records that might be missing is a huge help.”
- Michael McCready, Founder and Managing Partner, McCready Law
McCready Law no longer has to worry about sifting through loads of information and identifying missing elements, or things that might be detrimental to the case—things that can easily be missed due to human error.
Plus, they’re able to get up to speed on their cases faster. “Now, our attorneys are learning about the case by reading through the demand letter first, and then going back to the file to see if anything needs to be added,” says McCready.
