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Writing legal summaries

ChatGPT can be an incredibly useful tool for writing legal summaries. By generating customizable prompts, ChatGPT can help save time and increase accuracy in summarizing legal documents. The prompts can be adapted to any situation, making it a valuable resource for anyone working in the legal field. Here are five prompts that can be used to get started:

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Prompts

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Prompt # 1
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"In an exhaustive analytical format, kindly generate a concise summarization, limiting it to [NUMBER] sentences, of the [LEGAL DOCUMENT]. This encapsulation should emphasize on the central themes, arguments, or factual contentions that have been extensively discussed and deliberated upon in the [DOCUMENT]. Moreover, the summary should also critically evaluate the legal implications and the potential impact of these key points. The overall narrative should be coherent, comprehendible and be able to provide a nuanced understanding of the document's foundational premise and its subsequent assertions."

Prompt # 2
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"Can you summarize the [LEGAL DOCUMENT] in [NUMBER] of paragraphs, including information on the [PARTIES INVOLVED/ISSUE DISCUSSED/APPLICABLE LAWS]?"

Prompt # 3
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"Please provide a brief overview of the [LEGAL ISSUE/TOPIC] discussed in the [DOCUMENT], including information on the [PARTIES INVOLVED/PRECEDENT CASES/APPLICABLE STATUTES]."

Prompt # 4
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"What are the key legal arguments presented by the [PARTY/PETITIONER/RESPONDENT] in the [LEGAL DOCUMENT], and what evidence do they provide to support their claims?"

Prompt # 5
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"Can you identify any potential legal implications or consequences of the [LEGAL ISSUE/TOPIC] discussed in the [DOCUMENT], and how do they relate to [APPLICABLE LAWS/PRECEDENT CASES/SIMILAR SITUATIONS]?"

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Tips

Follow these guidelines to maximize your experience and unlock the full potential of your conversations with Mate Chat.
Experiment with different prompt formats: The format of the prompt can have a big impact on the quality of the generated text. Experimenting with different prompts can help you understand what works best for your specific use case.
Play around with the temperature and top-k hyperparameters: These hyperparameters control the level of randomness and diversity in the generated text. Experimenting with different values can help you find the sweet spot that works best for your specific use case.
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