Legal document review · Production

Sand Law doubles monthly demand output and cuts resolution time from months to weeks with EvenUp

The problem

Following significant staffing transitions, Sand Law found itself with just a few team members managing nearly 600 active cases; the manual demand-writing process became a bottleneck that threatened both firm growth and client care quality.

Workflow diagram · grounded in source

Staffing crisis triggers AI adoption

trigger

“Following staffing transitions that left just a few team members managing nearly 600 active cases, Sand Law needed to improve productivity without compromising client care”

AI automates demand creation

ai_action

“By automating the most time-consuming aspects of demand creation and enabling quicker attorney review, EvenUp helped Sand Law regain control of its caseload and raise its standard of service”

Attorney reviews AI-generated drafts

human_review

“EvenUp delivered high-quality drafts that required minimal attorney edits, accelerating the review and approval process”

Demand sent to insurers

output

“the firm began seeing earlier, better offers and quicker responses from insurance companies”

Firm-wide adoption expands

feedback_loop

“EvenUp has gone from an AI initiative with Sand Law's paralegal team to garnering firm-wide buy-in with all attorneys praising EvenUp's impact on their pre-litigation success”

Reported outcome

Sand Law doubled monthly demand output from 25–30 to 60–70 per month, saved approximately 160 hours of paralegal time each month, and reduced average case resolution from 4–6 months to 3–8 weeks, while also securing earlier and better initial offers from insurers.

Reported metrics

Monthly demands created60–70 demands created per month

Average case resolution timeaverage resolution shrinking from 4–6 months to 3-8 weeks

Paralegal time saved per monthapproximately 160 hours per month

Paralegal demand outputdoubled output

Show all 6 reported metrics

monthly demands created60–70 demands created per month

average case resolution timeaverage resolution shrinking from 4–6 months to 3-8 weeks

paralegal time saved per monthapproximately 160 hours per month

paralegal demand outputdoubled output

initial insurer offerssignificant increase in initial offers

insurer response speedquicker responses from insurance companies

Reported stack

EvenUp

Source

https://www.evenuplaw.com/customers/sand-law-evenup/

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Frequently asked questions

What did this team achieve with this AI workflow?

Sand Law doubled monthly demand output from 25–30 to 60–70 per month, saved approximately 160 hours of paralegal time each month, and reduced average case resolution from 4–6 months to 3–8 weeks, while also securing e…

What tools did this team use?

EvenUp.

What results were reported?

Monthly demands created: 60–70 demands created per month; Average case resolution time: average resolution shrinking from 4–6 months to 3-8 weeks; Paralegal time saved per month: approximately 160 hours per month; Paralegal demand output: doubled output (source-reported, not independently verified).

How is this legal document review AI workflow structured?

Staffing crisis triggers AI adoption → AI automates demand creation → Attorney reviews AI-generated drafts → Demand sent to insurers → Firm-wide adoption expands.