AI-Driven Legal Document Summarization and Blockchain-based Authenticity Verification for Enhanced Decision-Making

In today’s digital age, the frequency of forgery and illegal use of legitimate documents has increased in most sectors, such as real estate, banking, corporate issues, and government documents. The traditional practice of signing documents on verified stamp papers could no longer serve as an adequate countermeasure against modern-day digital malpractices. The most common digital methods currently circulating provide either secure document delivery through cryptographic signatures or document analysis via AI, while very few cover both. This paper aims to present an integrated online application embracing two independent functions: document verification using blockchain techniques and document summarization using AI. This guarantees secure verification of documents through a mechanism that generates cryptographic hashes and compares them to the entries on a privately deployed Ethereum blockchain for tamper-evident yet nonrevealing authentication. Concurrently, the summarization module uses machine learning (ML) and natural language processing (NLP) techniques to allow users to extract key clauses and important terms from documents, thus saving a great deal of user effort in interpreting lengthy legal content. In contrast to existing systems focusing separately on security or content processing, this integrated platform unlike existing systems that focus either only on security or only on content processing, addresses both integrity and accessibility. The novelty, therefore, is having a single interface where users can check for a document’s legitimacy or summarize content as they see fit. The effectiveness of this system will be evaluated based on verification accuracy, summarization quality (ROUGE), and user satisfaction. Presented with a dual feature, this will pave the way for a practically and user-friendly way for secure digital legal document handling.