What's been billed. What care will cost next.
Future medical cost projection software that builds billed-to-date roll-ups and future-care cost tables from the medical record, ready to drop into a life-care plan or a demand package. Every figure is cited to the page that supports it — nothing is projected without evidence in the record.
Billed to date, rolled up by category.
The platform reads the billing pages, CPT-coded lines, and EOBs already in the file, then rolls them into a medical specials table grouped the way you argue it: by provider, by date range, or by care category. No spreadsheet re-keying.
No documented recommendation in the file. Left out of the range until you confirm or request the missing record.
Future care as a range, never a guess.
The future-care table is built from what the record actually documents: treatment plans, physician recommendations, stated frequencies and durations. Each item is projected as a low/high range, and anything the record doesn't support is flagged for your review instead of quietly estimated.
Drop-in ready for the plan or the demand.
The tables come out in the shape a life-care planner or drafting attorney needs. Feed them straight into AI-assisted life care plan drafting or the settlement demand letter, or export DOCX and PDF for your own template.
A projection you can defend shows its work.
Every figure in every table traces to a page and a source — the billing line, the treatment plan, the physician's recommendation. That's what makes the output audit-grade and legally defensible when the other side asks where a number came from.
See Verifiable AI CitationsFrom raw billing pages to cited cost tables.
Three steps — no spreadsheet, no re-keying, no unsupported figures.
Records, billing pages, and EOBs in any format. 342 pages across 2 packets, no manual sorting.
Billed-to-date rolled up by provider, date, and category; future care drafted as ranges from documented recommendations.
Into the life-care plan, the demand package, or your own DOCX/PDF template — citations preserved.
Who builds cost tables with it.
Both sides of the same number: one team argues it, the other checks it.
Future medical cost projection, answered.
A structured table of the care a claimant is expected to need going forward — therapy, follow-up visits, imaging, medication — built from the treatment plans and physician recommendations documented in the record. Each line carries a frequency, a duration, a low/high cost range, and a citation to the page that supports it.
The platform reads the billing pages, CPT-coded lines, and EOBs already in the file and rolls them up by provider, date range, and care category into a billed-to-date table. Every figure is click-to-source: select any dollar amount and land on the billing page behind it.
A single number implies precision the record rarely supports. A low/high range tied to documented care options is easier to defend in negotiation or at deposition, and it leaves the judgment call — which figure to argue — where it belongs, with your planner or attorney.
Yes. The tables export in the shape a life-care planner or drafting attorney needs, feed AI-assisted life care plan drafting and the settlement demand letter directly, and come out as DOCX or PDF with the citations preserved.
Only from the record: billed amounts on the billing pages, documented treatment plans, and physician recommendations. Nothing is invented — a care item with no support in the file is flagged for your review, never silently filled in. AI drafts the table; your team decides what goes in the plan.
Related capabilities
Every billed amount traced to its source page — the ledger behind the roll-up.
ExploreA cited life care plan drafted by category and cost range, ready for planner review.
ExploreThe demand drafted from the record — with these tables dropped straight in.
ExploreThe one-page rolled-up billing summary, grouped by provider, date, or category.
ExplorePut cited cost tables in your next demand.
Upload a single file and get billed-to-date roll-ups and a future-care range back, every figure cited. Handled under our BAA; never used to train a model.