Legal document review · Production

Batta Fulkerson Law Group eliminates 45-day demand backlog and achieves 10x first offers with EvenUp

The problem

With only one demand writer on staff, Batta Fulkerson faced a 45-day demand backlog that created bottlenecks across the case workflow. Missing documents went unnoticed until claims adjusters flagged them weeks later, and assigning litigation cases required multiple days of reviewing the same files.

Workflow diagram · grounded in source
1
High-volume case intake
trigger
“Representing over 1,500 active personal injury cases, including 250 in litigation at any given time”
2
Route to demand type
routing
“The team had to learn when to use Demands™ — full, professionally-reviewed drafts — versus Express Demands™, which are AI-generated in minutes and typically used for simpler cases”
3
AI demand letter generation
ai_action
“The EvenUp demand presented a complete damages narrative, including a detailed explanation of harms, pain and suffering, and general damages supported by evidence”
4
Missing record detection
ai_action
“Batta Fulkerson Law Group leverages Case Preparation™ to flag missing bills and records and view gaps in treatment using the treatment timeline”
5
AI case Q&A and summarization
ai_action
“Case Companion is like having a brain within each file that you can ask any question about. You can pull tables, get detailed lists of phrases in the records, or see injuries by severity”
6
AI legal document drafting
ai_action
“Instead of manually combing through thousands of documents, the firm can build out demands, mediation briefs, discovery requests, sections of motions, negotiation sheets, or other documents in minutes”
7
Attorney case review and assignment
human_review
“Case Companion™ has been a useful resource for her to quickly summarize the case and understand the strengths and weaknesses”
8
Demand delivered to adjuster
output
“I sent the EvenUp Demand to the adjuster”
Reported outcome

EvenUp enabled faster case resolutions and stronger first offers, with one case yielding an opening offer ten times higher than expected.
Settlements now range from six-figure recoveries to multimillion-dollar wins, and attorneys spend more time on case analysis and client advocacy instead of administrative tasks.

Reported metrics
Demand backlog (baseline)45 day
First offer vs expectationten times higher than expected
Settlement rangesix-figure recoveries to multimillion-dollar wins
Demand drafting speedAI-generated in minutes
Show all 6 reported metrics
demand backlog (baseline)45 day
first offer vs expectationten times higher than expected
settlement rangesix-figure recoveries to multimillion-dollar wins
demand drafting speedAI-generated in minutes
case assignment time (baseline)multiple days
case resolution speedfaster case resolutions
Reported stack
EvenUp's Claims Intelligence Platform™Express Demands™Demands™Case Preparation™Case Companion™AI Drafts™Exhibit Management
Source
https://www.evenuplaw.com/customers/batta-fulkerson/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

EvenUp enabled faster case resolutions and stronger first offers, with one case yielding an opening offer ten times higher than expected.

What tools did this team use?

EvenUp's Claims Intelligence Platform™, Express Demands™, Demands™, Case Preparation™, Case Companion™, AI Drafts™, Exhibit Management.

What results were reported?

Demand backlog (baseline): 45 day; First offer vs expectation: ten times higher than expected; Settlement range: six-figure recoveries to multimillion-dollar wins; Demand drafting speed: AI-generated in minutes (source-reported, not independently verified).

How is this legal document review AI workflow structured?

High-volume case intake → Route to demand type → AI demand letter generation → Missing record detection → AI case Q&A and summarization → AI legal document drafting → Attorney case review and assignment → Demand delivered to adjuster.

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