Pain, function loss, and work impact, pulled from the record and organized to be understood.
Damages story engine software extracts pain, functional loss, work impact, and activities-of-daily-living evidence from the record and testimony, then organizes it into a structured, cited damages narrative. It's live in beta today, built for counsel who need the human impact of a case told clearly, with every point traced back to its source.
The human impact, organized and cited.
The engine reads clinical notes, functional assessments, and testimony for what the record already documents about pain, functional loss, work impact, and daily activities, then organizes it into a narrative structure, not a list of extracted facts, but a story a reader can follow, with every point cited.
Nothing added that isn't already there.
The narrative only organizes what the record and testimony already document. It does not infer an impact that isn't stated, and it does not embellish a claim beyond what its source supports, the story is only as strong as what's already on the page.
AI organizes the evidence. It doesn't inflate the story.
Damages Story Engine's only job is organizing pain, functional loss, work impact, and daily-activity evidence that already exists in the record and testimony into a narrative a reader can follow. It does not infer an impact the record doesn't document, and it does not embellish a claim beyond what its citation supports.
Every sentence in the narrative traces back to a specific page or testimony line. If the record doesn't say it, the narrative doesn't either, that boundary is what keeps the story defensible.
How it works.
Three steps, evidence in, narrative out.
Pain, functional loss, work impact, and ADL evidence is pulled from clinical notes, assessments, and testimony.
Extracted evidence is organized into a structured, cited damages narrative, section by section.
Edit the narrative, adjust emphasis, and carry it into the demand package or the brief.
Who tells the damages story with it.
The teams that need the human impact of a case understood, not just listed.
Turn scattered pain and functional-loss evidence into one cited narrative for the demand or the brief.
For plaintiff firmsWork impact and ADL evidence organized around the same date-of-loss chronology.
For PI firmsThe extraction hours collapse into a narrative draft to review and refine.
For LNCsDamages story engine, answered.
Pain, functional loss, work impact, and activities-of-daily-living evidence, pulled from clinical notes, functional assessments, and testimony already in the file. It organizes what's there into a structured, cited narrative rather than leaving it scattered across the record.
No. It only organizes evidence that's already documented in the record or testimony, and every point in the narrative is cited back to its source. It doesn't infer an unstated impact or embellish a claim beyond what its citation supports.
Yes, in beta. It's live and testable now on real files, and we're refining it hands-on with the firms using it early. If your case mix is a good fit, we'll work with you directly.
Directly. Demand Package Generator pulls the damages narrative in as one of its four cited sections, alongside the chronology, exhibits, and benchmark range, so the story goes out already assembled.
Yes. The full narrative is editable, and every citation stays attached so you can adjust emphasis or wording without losing the trace back to the record.
Related capabilities.
Feeds directly into the demand and case-theory work.
Tracks functional restrictions and work-status changes over time, cited to the record.
ExplorePulls the damages narrative in as one of four cited sections in the assembled package.
ExploreDrafts the damages theory track this narrative can feed directly into.
ExploreTurn your evidence into a damages story.
Pain, functional loss, work impact, and ADL evidence, organized into one cited narrative. Join the beta to run it on a real file, or book a demo to see a full narrative drafted.