Summarize Conversation

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{"source"=>"We’ve all experienced reading long, tedious, and boring pieces of text - financial reports, legal documents, or terms and conditions (though, who actually reads those terms and conditions to be honest?).  Imagine a company that employs hundreds of thousands of employees. In today's information overload age, nearly 30% of the workday is spent dealing with documents. There's no surprise here, given that some of these documents are long and convoluted on purpose (did you know that reading through all your privacy policies would take almost a quarter of a year?). Aside from inefficiency, workers may simply refrain from reading some documents (for example, Only 16% of Employees Read Their Employment Contracts Entirely Before Signing!).   This is where AI-driven summarization tools can be helpful: instead of reading entire documents, which is tedious and time-consuming, users can (ideally) quickly extract relevant information from a text. With large language models, the development of those tools is easier than ever, and you can offer your users a summary that is specifically tailored to their preferences.  Let's take legal documents, for example. Though they are written in English, many people find legal documents to be difficult to comprehend, as if they were actually written in a foreign language. Moreover, the interesting parts of each document may differ depending on the person who reads it, so off-the-shelf summarization tools may be too general or too specific. As an example, let's look at the involved personas:", "sourceType"=>"TEXT"}

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status: OK

{"id":"5b49c171-7533-0d41-88e8-963b1ee301ee","summary":"AI-driven summarization tools for legal documents\n\nTopics Discussed:\n• Efficiency: Employees in large companies often waste time reading long and tedious documents, such as financial reports, legal documents, and terms and conditions. AI-driven summarization tools can streamline this process by extracting relevant information from texts and providing users with a quick summary.\n• Time Savings: Reading through lengthy documents can be time-consuming and tedious. AI-driven summarization tools can save users time and effort by condensing lengthy texts into concise summaries.\n• Customization: AI-driven summarization tools can be personalized to suit individual preferences. Users can specify their preferences, and the tool will generate a summary that is specifically tailored to their needs.\n• Legal Documents: Legal documents, especially those written in English, can be difficult to comprehend due to their complex language. AI-driven summarization tools can help users understand complex legal concepts by providing concise and understandable summaries.\n• Different Perspectives: The interesting parts of a document may differ depending on who is reading it. AI-driven summarization tools can be trained to capture different perspectives and generate summaries that are relevant to different readers."}