Asset Acquisition

A portfolio of liens, receivables, judgments, or settlement claims is a collection of individual bets on legal outcomes, and its value depends on the same variables that matter for a single claim: resolution class, timing, and the correlation between matters in the book. Pricing a portfolio by aggregate face value or historical collection rates misses the case-level distribution that actually determines what it is worth today.

Criterica's role in an acquisition conversation is to apply the same outcome-distribution layer used across the platform to each position in a portfolio, producing a case-level view of expected resolution and timing that aggregates into a portfolio-level picture, rather than treating the book as a single blended number.

The output of that analysis informs how Criterica Capital structures an acquisition. The conversation here is about scoping the portfolio itself, composition, jurisdiction mix, and the seller's own reporting, before a transaction structure is proposed.

Sellers arrive at this conversation for different reasons: a fund winding down a position, a servicer consolidating a book, an originator monetizing a portfolio it no longer wants to carry. The mechanism is the same regardless of why the book is for sale.

The same mechanism applies whether a portfolio is small and freshly originated or large and aged. What changes with size and age is not the method, case-level distribution analysis, but the amount of historical performance data available to calibrate against the specific book.

Timing also matters to valuation in a way flat pricing methods miss. Two portfolios with identical face value but different average time-to-resolution are not worth the same today, and the distribution analysis captures that difference directly rather than assuming a uniform discount rate across the book.

Runs the case-level distribution analysis across a submitted portfolio, using the production model fleet where the case types and jurisdictions are covered.

Flags concentration risk inside a book, jurisdiction, practice area, or single-defendant exposure, that face-value pricing typically hides.

Coordinates directly with Criterica Capital once the portfolio is scoped, so a seller has one point of contact from initial review through a structured offer.

Where part of a book falls outside current model coverage, that segment is identified explicitly rather than priced by extrapolation, so a seller knows exactly which parts of the portfolio the analysis actually speaks to.

Where a portfolio spans multiple claim types, lien receivables alongside judgment claims, for instance, Criterica analyzes each segment on its own terms rather than blending dissimilar claim types into a single portfolio-level number.

Extends the same analysis to portfolios acquired from multiple originators over time, where claim quality and documentation standards often vary meaningfully between vintages, a detail aggregate portfolio metrics tend to obscure.

A redacted or de-identified case-level schedule: claim type, jurisdiction, current procedural posture, and current carrying value, is the fastest path to a useful review.

A description of how the book has been serviced to date, since servicing history affects what any structured offer looks like.

Any prior valuation or diligence work already performed on the portfolio, which shortens the review even when Criterica's own analysis is run independently.

Sellers should also be clear on any encumbrances against the portfolio, prior liens, servicing agreements, or existing financing, since those materially affect what a clean acquisition looks like.

The first call scopes the portfolio's composition, confirms which segments fall inside current model coverage, identifies what a clean data room would need to contain, and routes to Criterica Capital for a structured offer.

Timelines depend on portfolio size and data quality. A well-documented book with a clean case-level schedule moves faster than one requiring reconstruction of basic claim data before analysis can begin.

A first-pass read on a well-documented portfolio can typically be returned faster than a full structured offer, giving a seller an early signal on fit before committing to a deeper data room exchange.