Part 7/11:
A standout technique involves summarizing detailed legal documents into concise, informative notes. Shapiro shares a prompt he crafted: it asks GPT to produce bullet-point summaries in complete sentences, capturing key facts such as case titles, citations, dates, and outcomes.
He demonstrates how applying this compression reduces thousands of tokens to a fraction—nearly a tenfold reduction—while preserving salient details. Such summaries can serve as foundational building blocks for knowledge graphs or machine learning tasks, enabling rapid understanding of complex legal or technical content.