legal_document_review · services · workflow
EvenUp saves Trombly & Singer 40 hours per month by automating medical record review and demand preparation
Trombly & Singer's complex personal injury cases required extensive, time-consuming medical record reviews and demand package preparation that burdened internal staff, hindered case throughput, and delayed settlements.
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 · First-draft request submitted
The firm uses EvenUp to help with the first drafts of medical record review and demand writing.
Tools used
EvenUpThe Claims Intelligence Platform™
Outcome
EvenUp saved Trombly & Singer 40 hours of staff time per month, reduced demand processing time by at least one week per case, and uncovered an average of three missing sets of documents per demand package, enabling the firm to scale caseload without additional hires and generating tens of thousands of dollars in savings.
Results
Time saved40 hours per month
VolumeScaled Caseload capacity without needing to bring on additional staff hires
Cost replacedtens of thousands of dollars
Grounding & classification
Source type: vendor customer story
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content generationdata extractiondocument aisummarizationmedical recordhuman review describedmetric backednamed customerproduction runtime claimedsource backedtools describedworkflow describedlegalcost reductioncycle time reductionemployee productivitytime savedvendor customer storylegal document reviewlegal opsai draft human approvaldocument to record