Criterica Group — The institutional data science platform for regulated outcomes. A Splitifi company.
Glossary

The institutional vocabulary for regulated outcomes.

Sixty terms, defined precisely, cross-referenced, and linked to where each one appears across the Criterica platform.

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C
Calibration
The property of a probability estimate matching realized frequency across a defined population. A model that states a given probability across enough comparable matters is calibrated if that share actually resolves that way over a sufficiently large sample, checked out-of-sample and out-of-time rather than against its own training data.
Capital Call
A fund's request for committed but undrawn capital from its limited partners, timed against the fund's actual deployment schedule. Duration-aware underwriting improves capital call planning by giving a fund a real distribution, rather than a single assumed date, for when deployed capital returns.
Co-Investment
An arrangement in which a capital partner invests directly alongside a fund in a specific position or portfolio segment, typically to gain concentrated exposure to opportunities the partner has separately underwritten confidence in. Co-investment terms in legal-asset finance turn on the same distributions a fund's own positions are priced from.
Collection Risk
The risk that a judgment, though legally valid, cannot actually be collected because a defendant lacks the capacity or willingness to pay. Collection risk is priced from defendant-specific asset and payment data, a different data set and discipline than pre-judgment outcome-probability modeling.
Concentration Risk
Exposure clustered along a specific axis, judge, legal theory, defendant relationship, or duration profile, that a conventional credit framework built around counterparty and sector does not capture. A legal-asset portfolio diversified on conventional axes can still be concentrated on the axes that actually govern this asset class.
Contingent Risk
Risk whose materialization depends entirely on a future, uncertain event, such as a litigation outcome, rather than on a counterparty's independent capacity to perform. Legal-asset positions are a pure form of contingent risk, which is why outcome-probability modeling, not conventional credit analysis, is the correct pricing tool.
Corpus
The full body of structured, resolved-matter records a platform's models are built from, whose real value lies in its verified unique record count rather than its raw ingested total. A corpus's scale should never be cited from raw counts without disclosed deduplication and provenance status.
Counterparty Tape
A dataset of actual, realized-dollar outcomes supplied by a capital partner who deployed real positions in a specific asset class, the specific evidence required to activate a realized-outcome prediction claim for that class through a preregistered backtest against unseen matters.
Coverage Snapshot
A stated, dated description of which jurisdictions, case types, or asset classes a model or corpus reliably covers, distinguishing deep, validated coverage from thin, nominal coverage. A coverage claim without a snapshot date and sample depth should be treated as potentially stale.
D
Decision Record
The timestamped artifact documenting an underwriting decision, price, structure, capital committed, and portfolio context, captured at the moment capital is committed and referencing the specific prediction record it relied on. Kept separate from the prediction record, it is what lets a later review distinguish a bad model from a bad price.
Deduplication
The process of identifying and merging records that describe the same underlying event, entered into a corpus more than once through overlapping sources, repeated harvesting, or unverified merged datasets. Deduplication must run continuously as a corpus grows, not as a one-time cleanup.
Disposition
The specific, defined resolution class a matter concludes with, dismissal, settlement, judgment for the claimant, judgment for the defense, within a regulated market's own outcome taxonomy. The disposition taxonomy differs across regulated markets even where the underlying subject matter looks similar.
Docket
The chronological record of filings, rulings, and procedural events in a matter, maintained by a court, and the primary source of the historical ground truth that makes court-record corpora verifiable rather than self-reported. Docket data also supports duration modeling, since procedural events are recorded with dates.
Duration Distribution
A probability distribution over the time a matter takes to reach resolution, built from a corpus of matters that actually resolved, rather than a single expected date. It typically carries a right-skewed shape, with a median shorter than the mean because a minority of matters extend well past the bulk of the population.
P
Percentile Pricing
Pricing a position off a stated percentile of its underlying distribution rather than its mean, with the choice of percentile reflecting the capital's actual risk tolerance. Percentile pricing lets different capital layers price the same underlying distribution differently and honestly.
Point Estimate
A single number, an average settlement value or a median duration, that collapses an entire distribution into one figure and discards the width and tail information a capital allocator actually needs. Pricing capital from a point estimate treats genuinely different risk profiles as though they were identical.
Portfolio Finance
Capital deployed against a diversified pool of legal-asset positions rather than a single matter, priced using portfolio-level concentration and correlation analysis across judge, legal theory, defendant, and duration axes, not only conventional counterparty and sector diversification a borrowed credit framework checks.
Preregistration
Locking a backtest's population, cutoff date, and success criteria before any result is generated, preventing the evaluation from being adjusted after an unfavorable early result to find a framing that passes. Preregistration is what separates a genuine test from a search for a favorable description.
Procedural Posture
A matter's current position within its regulated market's defined process, the specific stage, motion pending, discovery underway, appeal filed, that determines which portion of the outcome and duration distribution is actually still live. Procedural posture is what triggers re-scoring between scheduled reviews.
Production Model
A model actively deployed to generate outcome or duration predictions used in real underwriting decisions, distinct from an experimental, retired, or reference model still present in a broader registry. Only production models should be counted toward a claim about an institution's active predictive capability.
Provenance
The documented record of where a specific piece of data actually came from, what license or public-record basis it rests on, and its verification status. Provenance documentation is what makes a corpus's scale claim checkable rather than a figure a counterparty is asked to trust.
R
Realized Outcome
The actual, structured result of a resolved matter, matched back to its original prediction. Realized-outcome claims about actual dollar returns activate per asset class, only once a model trained on counterparty tapes with real realized dollars has passed a preregistered backtest for that specific class.
Receivable
A right to future payment, in this asset class typically a litigation finance advance, a law firm fee receivable, or a judgment, used as collateral in a borrowing base or securitization structure. Legal receivables lack a fixed maturity and are frequently non-recourse, distinguishing them from conventional trade receivables.
Reconciliation
The process of identifying and merging duplicate records describing the same underlying event across sources, a required step before a corpus's scale or a base rate's sample size can be reported honestly. Reconciliation has to run continuously as new data enters a growing corpus, not once.
Regulated Market
A body of matters resolved under one procedural and regulatory regime, with its own defined outcome taxonomy, timeline structure, and recordkeeping conventions, the correct analytical unit for organizing outcome intelligence in place of a practice-area or industry-vertical label a market map might use.
Reliability Curve
A plot of stated probability against realized frequency across bins of a model's score, the specific artifact that demonstrates a calibration claim rather than merely asserting it. A reliability curve without the sample size behind each bin disclosed is incomplete evidence.

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Institutional partners, allocators, and counsel are welcome to suggest additions to this glossary or ask for clarification on how a specific term applies to their own portfolio.

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