An ontology specifies the categories of entities, the relationships between them, and the constraints on those relationships. In litigation it defines types such as party, witness, provider, document, event, claim, and defense, along with relationships such as testified about, supports, and contradicts.

It determines what questions the system can answer structurally.

Alternative Names:

Domain Ontology, Knowledge Schema

Why it Matters?

The ontology is where domain expertise enters a legal AI system, and it is the difference between a generic graph and a useful one. Encoding that a fact can be disputed, that a witness is the source of an assertion, and that a document supports or contradicts a claim is what allows structural questions to be answered. Systems built without a litigation-specific ontology produce connections that are technically correct and practically useless.

Frequently Confused with

Related terms

Frequently asked questions

What does a litigation ontology define?

What does a litigation ontology define?

Entity types such as parties, witnesses, providers, documents, events, claims, and defenses, plus relationships including testimony, support, and contradiction.

Why does the ontology matter more than the graph technology?

Why does the ontology matter more than the graph technology?

Because graph structure is generic. The value comes from encoding the distinctions litigators rely on, which requires domain judgment rather than engineering.