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Clause Classifier and Contract Extractor work alongside our legal search models to turn contract passages into usable information.

LiTiL released three specialized models for legal query-to-passage retrieval.

Meet ten LiTiL releases for intake, privacy, contract analysis, and specialist review.

Ten open, specialized models with defined jobs across intake, routing, privacy, contract analysis, and specialist review.

A small model that turns an incoming legal request into a structured route before the system loads the next workflow.

A bounded-output model for intake decisions, routing codes, issue codes, citations, and short extracted values.

A legal-document privacy checkpoint that returns labeled sensitive spans with source offsets.

A small contract model that checks whether a requested provision appears and helps build a reviewable provision map.

A multi-label contract model that gives passages a consistent taxonomy for indexing and downstream routing.

A contract classifier that assigns one category to a provision and returns scores across the available taxonomy.

A contract extraction model that returns the language answering a specific question or a stable absence value.

A contract-review model that applies a supplied playbook rule and returns the next structured review action.

A structured Howey-test model that maps numbered transaction evidence to the four factors for review.

A focused financing-review model that compares an agreed term with the corresponding draft provision.

The obvious cases are easy to label. Legal judgment lives in the part that depends on context.

The judgment worth teaching is not always the answer most people chose.

A model should have a defined job in the stack, and the organization should be able to replace it.