Legal document review · Production

D'Amato Personal Injury Attorneys cuts Demand turnaround to under 1 day with EvenUp

The problem

After transitioning to a paperless system, D'Amato's digital folders became cluttered and unorganized, making it hard to locate case information during adjuster calls or deposition prep, with no efficient method to track missing bills, records, or treatment gaps.

Workflow diagram · grounded in source
1
Client intake triggers case setup
trigger
“At D'Amato Law, case preparation begins the moment a client walks in the door”
2
Automated treatment timeline overview
ai_action
“the team uploads records and automatically sees an overview of treatment timelines, missing bills, and gaps in care”
3
Case Companion Q&A
ai_action
“D'Amato relies on [Case Companion™](https://www.evenuplaw.com/products/case-companion), to ask real questions about case facts and get clear answers. Attorneys use it daily to prepare for client meetings, summarize records, and handle im…”
4
Demand package generation
output
“to generate high-quality, personalized demand packages faster than ever. These tools integrate verdict analysis, ICD codes, policy limits, and jurisdiction-specific language—resulting in professional, natural-sounding narratives tailored…”
5
Negotiation preparation
ai_action
“the team is equipped with automated strengths and weakness section. These insights have been valuable and time-saving for the attorneys to maximize the settlement value”
6
Medical chronology for litigation
ai_action
“[MedChrons™](https://www.evenuplaw.com/products/medchrons) quickly became indispensable for trial preparation, providing accurate, complete medical records with a clear timeline of care. This saved the team from the tedious task of manua…”
Reported outcome

D'Amato reduced Demand turnaround time from several days to under 1 day and increased monthly Demands output since January 2025, with the team gaining streamlined workflows, faster access to key insights, and relief from manually reviewing thousands of pages of medical records.

Reported metrics
monthly Demands outputIncreased monthly Demands output since January 2025
Demand turnaround timefrom several days to under 1 day
Manual medical record review effortsaved the team from the tedious task of manually reviewing thousands of pages
Negotiation preparation time savingsvaluable and time-saving for the attorneys
Reported stack
EvenUpClaims Intelligence Platform™Case Companion™Case Preparation™Demands™Express Demands™MedChrons™Negotiation Preparation™
Source
https://www.evenuplaw.com/customers/damato-personal-injury/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

D'Amato reduced Demand turnaround time from several days to under 1 day and increased monthly Demands output since January 2025, with the team gaining streamlined workflows, faster access to key insights, and relief f…

What tools did this team use?

EvenUp, Claims Intelligence Platform™, Case Companion™, Case Preparation™, Demands™, Express Demands™, MedChrons™, Negotiation Preparation™.

What results were reported?

monthly Demands output: Increased monthly Demands output since January 2025; Demand turnaround time: from several days to under 1 day; Manual medical record review effort: saved the team from the tedious task of manually reviewing thousands of pages; Negotiation preparation time savings: valuable and time-saving for the attorneys (source-reported, not independently verified).

How is this legal document review AI workflow structured?

Client intake triggers case setup → Automated treatment timeline overview → Case Companion Q&A → Demand package generation → Negotiation preparation → Medical chronology for litigation.

Related legal document review cases