Legal document review · Production

William Mattar Law Offices accelerates demand generation and adjuster negotiations with EvenUp's secure legal AI

The problem

The firm faced time-consuming demand package preparation requiring precise medical codes and record reconciliation, creating bottlenecks that delayed settlements and diverted the team from higher-value legal and client work. Security requirements also blocked use of public AI tools.

First attempt

ChatGPT impressed the firm early on but could not be used for sensitive casework because it was not secure and the firm's strict commitment to client confidentiality meant they couldn't rely on public AI platforms.

Workflow diagram · grounded in source
1
Express Demands generates draft
ai_action
“Express Demands™ generates complete, customizable demand packages in just a few minutes using secure, generative AI”
2
Piai™ validates demand accuracy
validation
“Piai™ combines expert human review with specialized AI models to outperform GPT-4 with 99% accuracy for each demand prior to sending it off to the firm”
3
Attorney applies final touches
human_review
“This review enabled Mattar to just worry about all the final touches to make sure each demand is perfect when it goes out to the adjuster”
4
Case Companion assists negotiations
ai_action
“Case Companion™ helps you prepare for negotiations—enabling you to walk into those conversations with everything you need to handle whatever's coming your way. It helps you quickly pivot to the strongest facts and provides them to you in…”
Reported outcome

EvenUp delivered less attorney and staff time spent on preparing demands, faster turnaround from intake to demand submission, greater accuracy and detail in demand packages, and improved client experience.
Case Companion™ surfaces key facts in seconds rather than 20 minutes or an hour during adjuster negotiations.

Reported metrics
Demand accuracy99%
Attorney time on demand preparationLess attorney and staff time spent on preparing demands
Intake to demand turnaroundFaster turnaround from intake to demand submission
Demand package accuracy and detailGreater accuracy and detail in demand packages
Show all 8 reported metrics
demand accuracy99%
attorney time on demand preparationLess attorney and staff time spent on preparing demands
intake to demand turnaroundFaster turnaround from intake to demand submission
demand package accuracy and detailGreater accuracy and detail in demand packages
client experienceImproved client experience
time to surface case facts in negotiationseconds rather than 20 minutes or an hour
demand generation timea few minutes
time to retrieve informationin seconds
Reported stack
EvenUpPiai™Demands™Express Demands™Case Companion™
Source
https://www.evenuplaw.com/customers/law-offices-of-william-mattar-even-up/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

EvenUp delivered less attorney and staff time spent on preparing demands, faster turnaround from intake to demand submission, greater accuracy and detail in demand packages, and improved client experience.

What tools did this team use?

EvenUp, Piai™, Demands™, Express Demands™, Case Companion™.

What results were reported?

Demand accuracy: 99%; Attorney time on demand preparation: Less attorney and staff time spent on preparing demands; Intake to demand turnaround: Faster turnaround from intake to demand submission; Demand package accuracy and detail: Greater accuracy and detail in demand packages (source-reported, not independently verified).

What failed first in this deployment?

ChatGPT impressed the firm early on but could not be used for sensitive casework because it was not secure and the firm's strict commitment to client confidentiality meant they couldn't rely on public AI platforms.

How is this legal document review AI workflow structured?

Express Demands generates draft → Piai™ validates demand accuracy → Attorney applies final touches → Case Companion assists negotiations.

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