The most rigorous settlement-recovery engine for the long tail of institutional investors.

Every year billions of dollars of securities-litigation settlement money is left on the table because eligible investors never file a proof of claim. Filing is pure document-and-data work: match trades to a class period, run the recognized-loss formula in the plan of allocation, attach broker records, file before the bar date. The largest, most sophisticated funds already outsource this to specialist filers on contingency — but the long tail of smaller institutions does not, because incumbents court whales and the smaller portfolios looked uneconomic to onboard one at a time.

AI collapses exactly the cost that kept the long tail unserved: ingesting messy custodial transaction files, normalizing CUSIPs/tickers across corporate actions, matching against hundreds of concurrent global settlements, and computing recognized loss per idiosyncratic allocation plans. Do that with an internal engine and a thin layer of qualified human review, and you can profitably recover for a $400M RIA or a corporate treasury that a 900-client incumbent never bothered to chase.

The buyer's motivation is not just found money — it is a fiduciary duty: advisers and plan fiduciaries are generally obligated to file proofs of claim unless doing so is futile or imprudent. We sell the outcome (recovered dollars + a clean file), keep a licensed/qualified analyst as the authorized filing agent, and get cheaper and broader as models improve and as we add antitrust, opt-out monitoring, and international regimes.