Class Action Settlement Allocator
182,400.00 in submitted class action claims audited against allocation plan across across 4 items.
Purchase on 2023-11-15 precedes class start date (2024-01-01). Claim of $60,000.00 disqualified under Court Order 1.
Method1Verified claimant transaction dates against court-mandated class period boundaries.
2Applied pro-rata damage recovery factors to approved claim submissions.
| Reference | Description | Evaluated_Amount |
|---|---|---|
| CLM-1004 | Outside Class Period Disqualification (Piedmont) | 60,000.00 |
| CLM-1002 | Deficient Documentation Disqualification (Apex) | 34,000.00 |
| CLM-1003 | Authorized Loss Payout (Cascade Retail) | 57,200.00 |
Claimant purchase records and transaction files, plus court order Plan of Allocation rules
Approved distribution matrix with pro-rata payout calculations and disqualified claim schedules (Resolution Dossier, Findings Schedule)
Open Class Action Settlement Allocator on sample data now with no sign-up, then run your own files free for 14 days. $3,500 a month after that, cancel any time. 30% goes to the referring partner.
Read in memory for the session, never stored, never used to train a model.
Outputs are computed from your inputs and the tool's rules. Check them before you rely on them.
14 days on your own files, then $3,500 a month.
Open Class Action Settlement Allocator on sample data now with no sign-up, then run your own files free for 14 days. $3,500 a month after that, cancel any time.
On a sample file: 182,400.00 in submitted class action claims audited against allocation plan across across 4 items.
Why not just use ChatGPT?
Rules that stay current: the rate cards, tariffs, code sets and regulations it checks against are kept up to date for you; a one-off prompt starts from nothing each time. Evidence that stands up: every finding cites the line, the file and the rule, so it holds up with a vendor, a payer or an auditor. The same answer every time: the checks are written rules, not a fresh guess, so this month's result can be compared with last month's. Nobody has to own it: no one inside has to build, test and maintain a home-made tool, and files are not pasted into a public chatbot.
Start on your own files
If you would rather talk it through, write to dev.sathya@baseloom.app; that reaches Dev Sathya, founder.