legal_document_review · services · workflow

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

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.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Express Demands generates draft
Express Demands™ generates complete, customizable demand packages in just a few minutes using secure, generative AI.
Tools used
EvenUpPiai™Demands™Express Demands™Case Companion™
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.

What failed first

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.

Results
Time savedLess attorney and staff time spent on preparing demands
Volume99%
Source

https://www.evenuplaw.com/customers/law-offices-of-william-mattar-even-up/

How we source this →

Grounding & classification
Source type: vendor customer story
33 fields verified against source quotes.
content generationdocument aiknowledge searchmedical recordhuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedlegalaccuracy improvementcustomer satisfactioncycle time reductionemployee productivitytime savedvendor customer storylegal document reviewlegal opsai draft human approvaldocument to record