Legal documents are often lengthy and complex, and understanding them can be a challenge. However, with the help of Natural Language Processing (NLP) and Artificial Intelligence (AI), companies can now automate the process as AI and NLP are transforming Legal Document Processing. The process begins with document ingestion, where OCR technology is used to convert scanned documents into computer-readable formats such as PDFs. The NLP and AI algorithms then analyze the content of the documents, generating internal metadata, understanding the structure and formatting of the document, and extracting entities such as dates, names, and locations.

The algorithms can also extract tables and summarize the document to provide an overview of its contents and classify it into topics such as lawsuits or rental disputes. The classification process is typically based on a manual effort to label similar documents, which are then fed into the AI system to learn from. The AI system can then classify new documents based on their characteristics and generate insights into the document’s contents.

In summary, NLP and AI can be used to automate the process of analyzing legal documents, making them faster and more accurate. The technology can extract entities, summarize documents, classify them into topics, and provide insights into the content of the documents. This is particularly useful for law firms, corporations, and government agencies that deal with a large volume of legal documents.