Abstract: A method for intelligent editing of legal documents is described. The method may include receiving a rule, accessing a plurality of documents, and generating a list of tokens as a function of the rule and the plurality of documents. The method may also include ranking each token of the list of tokens, wherein a ranking of each token is a function of a frequency of occurrence in the plurality of documents, accessing a user inputted legal text, and suggesting one or more alterations to the user inputted legal text as a function of the ranked list of tokens. An apparatus for intelligent editing of legal documents is also described.

Abstract: A method for intelligent editing of legal documents is described. The method may include receiving a rule, accessing a plurality of documents, and generating a list of tokens as a function of the rule and the plurality of documents. The method may also include ranking each token of the list of tokens, wherein a ranking of each token is a function of a frequency of occurrence in the plurality of documents, accessing a user inputted legal text, and suggesting one or more alterations to the user inputted legal text as a function of the ranked list of tokens. An apparatus for intelligent editing of legal documents is also described.

Abstract: A system for intelligent editing of legal documents. The system includes a computing device. The computing device is configured to access a plurality of legal source texts from a plurality of legal sources, generate a score for each of the plurality of legal source texts, train a natural language processing model as a function of the scored legal source texts and a first machine-learning process, receive user inputted legal text from a user device being operated by a human user to create a user legal document, analyze the user inputted legal text using the natural language processing model, suggest, as a function of the analyzing, a modification to a target text of the user inputted legal text, and generate a score for a modified user legal document. A method for intelligent editing of legal documents is also provided.

Abstract: A system for intelligent editing of legal documents. The system includes a computing device. The computing device is configured to access a plurality of legal source texts from a plurality of legal sources, generate a score for each of the plurality of legal source texts, train a natural language processing model as a function of the scored legal source texts and a first machine-learning process, receive user inputted legal text from a user device being operated by a human user to create a user legal document, analyze the user inputted legal text using the natural language processing model, suggest, as a function of the analyzing, a modification to a target text of the user inputted legal text, and generate a score for a modified user legal document. A method for intelligent editing of legal documents is also provided.