Classify Legal Texts - Legal NLP Demos & Notebooks

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Classify Legal Texts - Live Demos & Notebooks

Classify hundreds types of clauses (Binary - clause detected or not)
These models check for specific clauses in legal texts, returning them (for example, "investments", "loans", etc. ) or “other” if the clause was not found. (...)
Classify 15 types of clauses (Multilabel)
Using Multilabel Document Classification, where several classes can be assigned to a text, this demo will analyse and provide the best class or classes given an input text. This demo can be used to detect relevant clauses in a legal text. (...)
Classify Law Stack Exchange Questions
This demo classifies a wide variety of legal issues. The model demonstrates remarkable proficiency in predicting `business`, `constitutional-law`, `contract-law`, `copyright`, `criminal-law`, `employment`, `liability`, `privacy`, `tax-law`, and `trademark`. (...)
Classify Judgements Clauses
These models analyze and identify if a clause is a decision, talks about a legal basis, a legitimate purpose, etc. and if an argument has been started by the ECHR, Commission/Chamber, the State, Third Parties, etc. (...)
Classify Document into their Legal Type
This demo shows how to classify long texts / documents into a subsample of 8 different types. (...)
Classify Swiss Judgements Documents
This demo shows how to classify Swiss Judgements documents in English, German, French, Italian into Civil Law, Insurance Law, Public Law, Social Law, Penal Law or Other. (...)
Determine the category of a section within a subpoena
This is a multiclass classification model designed to determine the category of a section within a subpoena. A subpoena is a formal document issued by a court, grand jury, legislative body or committee, or authorized administrative agency. It commands an individual to appear at a specific time and provide testimony, either orally or in writing, regarding the matter specified in the document. (...)
Legal Contract NLI
This is a text-to-text generation model (encode-decoder architecture) that has undergone fine-tuning on contract for Natural Language Inference on in-house curated dataset, aiming to streamline and expedite the contract review process. The objective of this task is to provide a system with a set of hypotheses, like “Some obligations of Agreement may survive termination,” along with a contract, and task it with classifying whether each hypothesis is entailed, contradicted, or not mentioned (neutral) by the contract. (...)