Legal document review · Production

Brooks & Baez saves 20–30 hours per month with EvenUp AI-powered demand letter and case valuation automation

The problem

Compiling demand letters and conducting case valuations was time-intensive work that strained resources and limited the firm's ability to scale, while attorneys harboured reservations about whether AI could meet the precision standards required in legal practice.

Workflow diagram · grounded in source
1
AI case valuation
ai_action
“EvenUp's AI-driven case valuation capabilities have enabled the firm to assess damages and compensation figures more efficiently, ensuring demand letters are both well-supported and compelling.”
2
Automated demand letter generation
ai_action
“The platform's automated demand letter preparation ensures that every demand is structured, well-documented, and backed by comprehensive case data.”
3
AI case analysis and insights
ai_action
“By integrating AI-driven analytics, the firm has gained a competitive edge in anticipating case outcomes and improving negotiation positioning.”
4
Attorney human oversight
human_review
“maintaining the human oversight necessary for legal precision”
5
Demand package output
output
“EvenUp's AI-powered case valuation tools provide detailed assessments of damages—ensuring demand packages are both accurate and persuasive”
Reported outcome

Brooks & Baez saved approximately 20–30 hours per month by streamlining case valuation and demand letter preparation, significantly reduced administrative workload, improved demand letter consistency, and gained a competitive edge through AI-driven litigation analytics.

Reported metrics
Hours saved per monthapproximately 20-30 hours per month
Administrative workloadsignificantly reduced administrative workload
Attorney time on financial reviewsignificantly reduced the time attorneys spend manually reviewing financial details and compiling settlement figures
Reported stack
EvenUpClaims Intelligence Platform™
Source
https://www.evenuplaw.com/customers/brooks-baez-evenup/
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Frequently asked questions

What did this team achieve with this AI workflow?

Brooks & Baez saved approximately 20–30 hours per month by streamlining case valuation and demand letter preparation, significantly reduced administrative workload, improved demand letter consistency, and gained a com…

What tools did this team use?

EvenUp, Claims Intelligence Platform™.

What results were reported?

Hours saved per month: approximately 20-30 hours per month; Administrative workload: significantly reduced administrative workload; Attorney time on financial review: significantly reduced the time attorneys spend manually reviewing financial details and compiling settlement figures (source-reported, not independently verified).

How is this legal document review AI workflow structured?

AI case valuation → Automated demand letter generation → AI case analysis and insights → Attorney human oversight → Demand package output.

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