Legal documents are long and dense, and the important parts (obligations, deadlines, parties, risks) are easy to miss. Law Simplified turns them into structured insights and an interactive knowledge base.

  • Accepts PDFs and scanned images, with multilingual OCR and several extraction strategies to recover text.
  • Extracts clauses and entities with NLP and transformer models.
  • Produces schema-driven summaries in plain language.
  • Answers questions through RAG over vector embeddings, grounded only in the uploaded document.

Result: case-review efficiency improved by 60%.

Code: github.com/Ashwin07Mishra/Law-Simplified