Legal ops · Production

C&B Law Group reduces demand delays by over a month with EvenUp AI demand writing and analytics

The problem

C&B Law Group struggled to find and retain talent for labor-intensive demand writing, while firm performance tracking was a manual, time-intensive process that limited visibility beyond basic revenue benchmarks.

Workflow diagram · grounded in source
1
AI demand letter drafting
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“Instead of hiring ten demand writers, C&B Law Group could now equip one strong team member with EvenUp and achieve the same output”
2
Executive Analytics monitoring
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“EvenUp's Executive Analytics™ also gave C&B Law Group real-time insight into operational performance, including key metrics like treatment gaps, treatment velocity, and days of demand delay”
3
Data-driven continuous improvement
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“enabling continuous improvement and faster decision-making”
Reported outcome

EvenUp reduced demand delays by over a month on average and enabled one team member to achieve the output previously requiring a full team of demand writers, while Executive Analytics provided real-time visibility into treatment gaps, treatment velocity, and demand delays.

Reported metrics
Demand delay reductionover a month on average
Demand writing staff requiredone strong team member to achieve same output as ten demand writers
Caseload capacityincrease their caseload capacity
Reported stack
EvenUpExecutive Analytics™
Source
https://www.evenuplaw.com/customers/cb-law-group-evenup/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

EvenUp reduced demand delays by over a month on average and enabled one team member to achieve the output previously requiring a full team of demand writers, while Executive Analytics provided real-time visibility int…

What tools did this team use?

EvenUp, Executive Analytics™.

What results were reported?

Demand delay reduction: over a month on average; Demand writing staff required: one strong team member to achieve same output as ten demand writers; Caseload capacity: increase their caseload capacity (source-reported, not independently verified).

How is this legal ops AI workflow structured?

AI demand letter drafting → Executive Analytics monitoring → Data-driven continuous improvement.