Summarizing Legal Documents for Different Personas Using AI21 Studio

AI-driven summarization can address the challenge of reading long, complex legal documents. Large language models can be used to create summaries tailored to different user personas, such as lawyers or the general public. For lawyers, summaries can retain formal legal terminology, while for others, they can be simplified for easier comprehension. The process involves prompt engineering, where a model is given examples (a few-shot prompt) to guide it in generating the desired style of summary for a specific audience.