legal_ops · services · workflow
John K. Zaid & Associates scales personal injury practice with EvenUp's proactive AI platform
As caseloads grew, John K. Zaid & Associates struggled to maintain case velocity while relying on spreadsheets for medical tracking, manual demand drafting that risked missed details, and routine client check-ins that competed with higher-priority case work.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · AI Playbooks intake evaluation
Playbooks proactively automate early case evaluation, assessing liability, injury severity, insurance coverage, and overall client fit.
Tools used
EvenUpAI PlaybooksMedical ManagementCommunication AgentsDemandsExpress DemandsAI DraftsCase Companion
Outcome
The firm now sends 30% more demands month over month without adding staff, secures settlements that are often 300% higher, and has automated routine client communications across thousands of cases while freeing case managers for higher-impact work.
Results
Time saved30%
Volume300%
Grounding & classification
Source type: vendor customer story
38 fields verified against source quotes.
agentic workflowai agentdata extractiondocument aisummarizationknowledge basemedical recordhuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedlegalemployee productivityrevenue increasethroughput increasetime savedvendor customer storyclaims processinglegal document reviewlegal opsagentic task executionescalation workflowextract classify route