The whole demand package, chronology, damages, exhibits, and range, assembled.
Demand package generator software assembles a complete package in one pass: a cited medical chronology, a damages narrative, an organized exhibit set, and a benchmark-supported value range drawn from comparable resolved cases. It builds on Settlement Demand Letter's drafting engine and is live in beta, ready for counsel's review and sign-off before it goes out.
One package, four cited layers.
The generator pulls together what used to be four separate drafting jobs: the chronology, the damages narrative, the exhibit index, and a benchmark value range from comparable resolved cases. Every section is cited back to its source, and the package assembles in one pass instead of four.
A value range, not a demand instruction.
The benchmark range comes from comparable resolved cases with similar injuries and treatment courses, every driver cited back to your record. It is context for counsel's own number, not a suggested demand — the figure that goes in the letter is counsel's call.
AI assembles the package. Counsel signs before it goes out.
Demand Package Generator drafts every section of the package from cited record facts, but nothing in it is final until counsel reviews the whole thing. The benchmark value range is a reference point built from comparable resolved cases, not a demand instruction — the number counsel puts in the letter is counsel's decision alone.
No package leaves the platform signed or sent. It is drafted for review, edited as needed, and only goes out once counsel approves it — the same standard that already governs Settlement Demand Letter.
How it works.
Three steps, one package, counsel's sign-off at the end.
Chronology, damages evidence, and exhibits are pulled from the file; comparable resolved cases are matched for benchmarking.
All four sections draft together into one cited demand package, ready for review.
Edit any section, set the final demand figure, and send when the package is ready.
Who assembles demand packages with it.
The teams that build and send demand packages at volume.
Move from file to a complete, cited demand package in one pass instead of four separate drafts.
For plaintiff firmsChronology, damages, exhibits, and a benchmark range built around the same date-of-loss record.
For PI firmsThe sort-and-cite hours collapse into one package draft to review and refine.
For LNCsDemand package generator, answered.
A cited medical chronology, a structured damages narrative, an organized exhibit set with duplicates removed, and a benchmark-supported value range drawn from comparable resolved cases — assembled together instead of drafted as four separate documents.
No. It's a reference point built from comparable resolved cases with similar injuries and treatment courses, every driver cited back to your record. The figure that goes in the letter is counsel's own judgment call, not the tool's instruction.
Settlement Demand Letter drafts the letter itself. Demand Package Generator builds on that same drafting engine but assembles the whole supporting package around it, so the letter goes out with its chronology, damages narrative, exhibits, and benchmark range already attached.
Yes, in beta. It's live and testable now on real files, and we're refining it hands-on with the early firms using it. If your case volume and mix are a good fit, we'll work with you directly.
Yes. Every section, chronology, damages narrative, exhibit set, and benchmark range, is editable, and nothing sends until counsel reviews and approves the finished package.
Related capabilities.
Builds on live drafting and benchmarking capabilities.
The cited drafting engine this package builds its letter on — live today.
ExploreSuccess and value ranges from comparable resolved cases, every driver cited to your record.
ExploreThe structured, cited damages narrative that feeds directly into the package.
ExploreAssemble your first demand package.
Chronology, damages narrative, exhibits, and a benchmark range, drafted together and ready for your review. Join the beta to run it on a real file, or book a demo to see a full package assembled.