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A legal expert system is a domain-specific expert system that uses artificial intelligence to emulate the decision-making abilities of a human expert in the field of law. [1]: 172 Legal expert systems employ a rule base or knowledge base and an inference engine to accumulate, reference and produce expert knowledge on specific subjects within the legal domain.
Document AI combines text data, which has a time dimension, with other types of data, such as the position of an address in a business letter, which is spatial. Historically in machine learning spatial data was analyzed using a convolutional neural network , and temporal data using a recurrent neural network .
In addition, some document automation software has the ability to create a document suite where all related documents are encapsulated into one file, making updates and collaboration easy and fast. Simpler software applications that are easier to learn can also be used to automate the preparation of documents, without undue complexity.
Of all the corporate functions that are ripe for AI disruption, legal teams are at the top. According to a 2021 study from global consulting firm KPMG, companies hire about six lawyers per $1 ...
After acquiring Sun Microsystems in January 2010, Oracle Corporation continued developing OpenOffice.org and StarOffice, which it renamed Oracle Open Office.In September 2010, the majority [17] [18] of outside OpenOffice.org developers left the project [19] [20] due to concerns over Sun's, and then Oracle's, management of the project, [21] [22] to form The Document Foundation (TDF).
Document comparison, also known as redlining or blacklining, is a computer process by which changes are identified between two versions of the same document for the purposes of document editing and review. Document comparison is a common task in the legal and financial industries.
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