Part 3/11:
By doing so, the system would enable attorneys and researchers to traverse a web of legal precedents, understanding how each case interconnects within the broader judicial landscape.
From Text Extraction to Structured Data
Automating JSON Generation with GPT-3
One of the key breakthroughs was leveraging GPT-3 to automatically generate the JSON structure from raw text data. This involved prompting GPT-3 to parse each opinion and output a node with the requested properties. The approach proved successful, allowing for rapid population of the knowledge graph nodes with comprehensive legal metadata.