Legal document review · Production

Virginia Injury Law scales caseload and achieves 69% YoY revenue growth with EvenUp's Claims Intelligence Platform

The problem

As Virginia Injury Law grew, maintaining consistency across every case became harder. The firm faced a demand generation bottleneck and inconsistent, time-consuming processes that prevented it from scaling without sacrificing quality.

First attempt

Before EvenUp, missing records and bills were not identified until the demand generation stage, causing significant back-and-forth between teams and delays in settling cases.

Workflow diagram · grounded in source
1
AI demand letter generation
Ai action
EvenUp's Demands™ replaced inconsistent, time-consuming demand letter processes across teams.
▾ source quote
“quickly replaced inconsistent, time-consuming processes across teams. This freed up case managers to focus on higher-impact work, especially strengthening client relationships.”
2
AI case fact summaries
Ai action
Case Companion provides immediate summaries of case facts and medical records to support strategic decisions.
▾ source quote
“both pre-litigation and litigation teams have improved case outcomes and have made strategic decisions based on immediate summaries of their case facts and medical records”
3
Medical records gap detection
Ai action
Case Preparation enables the support team to spot gaps in treatment, surface missing documents, and request records early in the case.
▾ source quote
“the firm's support team can quickly spot gaps in treatment, surface missing documents, and request records early in the case”
4
Policy-limit case routing
Routing
The platform allows the firm to quickly identify policy-limit opportunities and route cases more effectively.
▾ source quote
“allowing the firm to quickly identify policy-limit opportunities and route cases more effectively”
5
Leadership KPI analytics
Ai action
Executive Analytics helps leadership monitor KPIs, identify process enhancements, and make faster, more informed decisions.
▾ source quote
“Executive Analytics™ helps Simpson and the leadership team make faster, more informed decisions aligned with their strategic goals. Its role in monitoring KPIs, identifying process enhancements, and implementing changes has directly contributed to a remarkable 69% year-over-year revenue increase.”
Reported outcome

With the same team size, Virginia Injury Law achieved a 69% year-over-year revenue increase, reduced case review time from 30 to 45 days to 1–2 hours, and saw faster case resolutions, higher average settlements, and stronger client satisfaction.

Reported metrics
Volume of demands sentincrease in the volume of demands sent from 2023 to 2024
Year-over-year revenue growth (headline teaser)year-over-year growth in revenue
Time on case analysis reduction (headline teaser)reduction in time spent on case analysis using Case Companion
Year-over-year revenue increase69%
Show all 10 reported metrics
volume of demands sentincrease in the volume of demands sent from 2023 to 2024
year-over-year revenue growth (headline teaser)year-over-year growth in revenue
time on case analysis reduction (headline teaser)reduction in time spent on case analysis using Case Companion
year-over-year revenue increase69%
case review time30 to 45 days reduced to 1–2 hours
case preparation timeover a month reduced to a few hours
case resolution speedfaster case resolutions
average settlementshigher average settlements
client satisfactionstronger client satisfaction
demand letter writing qualitywriting quality increased
Reported stack
EvenUpClaims Intelligence PlatformPiaiCase CompanionExecutive AnalyticsCase PreparationMedChrons
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Source
https://www.evenuplaw.com/customers/virginia-injury-law/
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Frequently asked questions

What did this team achieve with this AI workflow?

With the same team size, Virginia Injury Law achieved a 69% year-over-year revenue increase, reduced case review time from 30 to 45 days to 1–2 hours, and saw faster case resolutions, higher average settlements, and s…

What tools did this team use?

EvenUp, Claims Intelligence Platform, Piai, Case Companion, Executive Analytics, Case Preparation, MedChrons.

What results were reported?

Volume of demands sent: increase in the volume of demands sent from 2023 to 2024; Year-over-year revenue growth (headline teaser): year-over-year growth in revenue; Time on case analysis reduction (headline teaser): reduction in time spent on case analysis using Case Companion; Year-over-year revenue increase: 69% (source-reported, not independently verified).

What failed first in this deployment?

Before EvenUp, missing records and bills were not identified until the demand generation stage, causing significant back-and-forth between teams and delays in settling cases.

How is this legal document review AI workflow structured?

AI demand letter generation → AI case fact summaries → Medical records gap detection → Policy-limit case routing → Leadership KPI analytics.

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