Legal document review · Production

J&Y Law cuts case lifecycle 25% and medical review time 50% with EvenUp AI

The problem

Surging caseloads from successful marketing efforts left J&Y Law's teams struggling to keep pace with time-intensive administrative tasks—organizing medical records, tracking treatment, preparing demands, and conducting case reviews—causing time-on-desk to slip and average case value to decline. The negotiation workflow alone required eight case managers working 40 hours a week just to aggregate data before negotiations could begin.

Workflow diagram · grounded in source
1
AI intake pre-screening
trigger
“the team can find key information from intake transcripts, notes, and case files before the first client interaction”
2
AI highlights coverage and liability
ai_action
“Coverage, liability, and policy nuances are automatically highlighted, helping case managers make faster, smarter decisions and assign cases to the right attorneys”
3
Medical management tracks treatment
ai_action
“EvenUp highlights treatment milestones, flags missing documents, and surfaces gaps in care early, so attorneys can address issues before they become problems”
4
Litigation transition routing
routing
“J&Y built a Al Playbook designed to analyze pre-litigation data and identify high-potential matters that should be transitioned to the litigation department”
5
Express Demands drafts demand letters
ai_action
“Express Demands™ help attorneys hit policy limits more consistently by automatically incorporating key facts, treatment milestones, and liability insights”
6
Automate negotiation data gathering
ai_action
“By implementing Companion™, AI Playbooks™, and Strengths and Weaknesses, J&Y Law automated this entire data-gathering phase. This transition effectively reclaimed 320 hours of collective team capacity every week. Instead of functioning a…”
7
AI Drafts generate negotiation briefs
output
“attorneys now leverage AI Drafts™ to generate comprehensive Negotiation Briefs and Medical Summaries in seconds”
8
Litigation playbook surfaces deposition facts
ai_action
“By utilizing unique prompts, attorneys can instantly surface deposition-ready facts and liability nuances that would otherwise remain buried in thousands of pages of discovery”
9
MedChrons visual medical timeline
output
“By leveraging MedChrons™, the firm has cut medical review time by 50%, transforming thousands of pages of raw data into clear, visualized timelines. These interactive chronologies allow trial attorneys to present the full trajectory of a…”
Reported outcome

EvenUp's AI suite enabled J&Y Law to double monthly signed cases, handle a 40% increase in pre-lit caseloads, reclaim 320 hours of weekly team capacity, reduce the case lifecycle by 25%, and cut medical chronology review time by 50%.

Reported metrics
Pre-lit caseload increase40%
Monthly signed casesdouble
Previous negotiation prep laboreight case managers working 40 hours a week
Weekly team capacity reclaimed320 hours
Show all 7 reported metrics
Pre-lit caseload increase40%
Monthly signed casesdouble
Previous negotiation prep laboreight case managers working 40 hours a week
Weekly team capacity reclaimed320 hours
Case lifecycle reduction25%
Medical chronology review time reduction50%
Average matter valueincreased the average matter value
Reported stack
EvenUpDemands™AI Playbooks™Medical Management™Express Demands™Companion™Strengths and WeaknessesAI Drafts™MedChrons™
Source
https://www.evenuplaw.com/customers/jy-law/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

EvenUp's AI suite enabled J&Y Law to double monthly signed cases, handle a 40% increase in pre-lit caseloads, reclaim 320 hours of weekly team capacity, reduce the case lifecycle by 25%, and cut medical chronology rev…

What tools did this team use?

EvenUp, Demands™, AI Playbooks™, Medical Management™, Express Demands™, Companion™, Strengths and Weaknesses, AI Drafts™, MedChrons™.

What results were reported?

Pre-lit caseload increase: 40%; Monthly signed cases: double; Previous negotiation prep labor: eight case managers working 40 hours a week; Weekly team capacity reclaimed: 320 hours (source-reported, not independently verified).

How is this legal document review AI workflow structured?

AI intake pre-screening → AI highlights coverage and liability → Medical management tracks treatment → Litigation transition routing → Express Demands drafts demand letters → Automate negotiation data gathering → AI Drafts generate negotiation briefs → Litigation playbook surfaces deposition facts → MedChrons visual medical timeline.

Related legal document review cases