Spark NLP in Action

Spark NLP for Legal Legal Entity Recognition
Extract Document Type, Parties, Aliases and Dates
This model uses Name Entity Recognition to extract DOC (Document Type), PARTY (An Entity signing a contract), ALIAS (the way a company is named later on in the document) and EFFDATE (Effective Date of the contract).
Extract Signers, Roles and Companies
This model uses Name Entity Recognition to extract SIGNING_PERSON (People signing a document), SIGNING_TITLE (the roles of those people in the company) and PARTY (Organizations).
Extract headers and subheaders
This model uses Name Entity Recognition to detect HEADERS and SUBHEADERS with aims to detect the different sections of a legal document.
Extract entities in Whereas clauses
This model uses Name Entity Recognition detect "Whereas" clauses and extract, from them, the SUBJECT, the ACTION and the OBJECT.
Detect legal entities in German
Automatically identify entities such as persons, judges, lawyers, countries, cities, landscapes, organizations, courts, trademark laws, contracts, etc. in German legal text.
Detect legal entities in Portuguese
Automatically identify entities such as Organization, Jurisprudence, Legislation, Person, Location, and Time, etc. in (Brazilian) Portuguese legal text.
Extract Parties obligations in a Legal Agreement
Automatically identify entities such as Organization, Jurisprudence, Legislation, Person, Location, and Time, etc. in (Brazilian) Portuguese legal text.
Identify Companies and their aliases in legal texts
This model uses Entity Recognition to identify ORG (Companies), their ALIAS (other names the company uses in the contract/agreement) and company PRODUCTS.