Extract Legal Relationships - Legal NLP Demos & Notebooks

This demo shows how you can carry out Relation Extraction without training any model, just with some textual examples. (...)

This model uses Deep Learning Name Entity Recognition and a Relation Extraction models to extract the document type (DOC), the Effective Date (EFFDATE), the PARTIES in an agreement and their ALIAS (separate and collectively). (...)

This demo shows how legal sentence elements can be accessed using syntactic relationships (dependency parser). (...)

This demo shows how to extract the Subject (who), Action (verb), Object (what) and Indirect Object (to whom) in Indemnification clauses. (...)

This demo shows how to extract relations between entities as NOTICE_PARTY, NAME, TITLE, ADDRESS, EMAIL, etc. from notice clauses. (...)