CHALLENGES
Extracting specific clauses efficiently from lengthy and complex agreements with nested clauses, varying language, structure, and terminology.
- Analyzing new agreements and identifying differences with a standard agreement to assess potential legal risks.
- Accurately extracting structured data, such as dates, names, amounts, and obligations, from diverse agreement types, even if the documents are unstructured
SOLUTION
- Document is segmented into smaller chunks for efficient processing and analysis.
- Each document chunk is transformed into a vector representation and stored for easy retrieval.
- The vector representations enable streamlined similarity search using Euclidian distance and retrieval of relevant information.
- Appropriate Prompts the relevant text is used to derive the final clause or extracted data as per requirements.
