Litigation Propensity Prediction demo
Agents read every open injury file daily and raise the ones heading for a lawsuit or a large verdict, with the evidence. 1:14
What the demo shows
A litigation risk solution that reads open injury files daily and flags those heading to suit.
Six agents read every new note, letter and medical update on every open injury file each night, score each file's risk of a lawyer or a suit, and lay it out as a heat list with the files that moved overnight; each signal highlights the phrase in the file that raised it ("my lawyer said", a surgical consult, a call not returned), and the claim supervisor decides the next step while settling is still cheaper than litigating.
Transcript
- Litigation Propensity Prediction reads open injury files nightly and flags those heading to suit.
- A lawyer makes a casualty claim nearly five times as costly, and the signs sit in unread notes.
- Alana Brooks starts on the heat list.
- Eleven files moved up overnight.
- Denise Albright's file leads.
- The agents replay yesterday's call note.
- The phrase, my lawyer said, lights up and her score jumps from 41 to 78.
- An MRI, a surgical consult, and an unreturned call add the rest.
- The claim file shows each signal beside its passage.
- Alana approves. A specialist calls Denise today before any lawyer's letter.
- Last year, three and four suits were flagged six weeks early.
- Built on Botminds: agents, data, screens, and governance on one platform.
Transcribed from the film’s narration. Captions are on the player.