Intelligent Document Processing

Intelligent Document Processing

The foundation of intelligent document processing is AI. And much of that AI capability is what allows computers to process documents in ways that they never could before. Computer scientists and engineers developed several breakthrough technologies that have led to the rise of intelligent document processing. 

Natural language processing, computer vision, and machine learning algorithms are just a few examples of how AI powers document processing. There are many potential applications for intelligent document processing including customer service and marketing. And of course, there are many uses in the legal industry. AI can help lawyers and paralegals do more with less. It can help automate mundane tasks so people can spend more time on their most important work. And it can help save time and money by reducing errors and improving efficiency.

AI isn’t new. But it has changed significantly over the last few years. Improvements in computing power, data availability and algorithms have all contributed to making it more accessible and useful than ever before.



Benefits of Intelligent Document Processing

Human readers often miss things when reviewing documents. It’s just part of the human condition. AI can help make sure that computers don’t miss anything when reading through large amounts of documents. - Great for smaller firms - AI can help make up for a lack of headcount.

It can help you scale your business without needing to grow your team.

Better document tagging

Tagging is crucial to organizing documents. With intelligent document processing, computers can do a much better job of tagging documents than a person ever could.

Faster turnaround times

The more efficient your operations are, the less time you need to spend on things that don’t bring you value. Intelligent document processing can speed up processes and reduce turnaround times. - Better client experience - Clients expect a certain level of service, especially when they are paying you by the hour. AI can help you get more done in less time.



Types of AI in Document Processing

Natural language processing - NLP is a subset of AI that powers computer vision. It allows machines to understand language as it’s written, even though they don’t understand the meaning behind the words themselves. NLP can help identify key data points in documents and even transcribe them. It’s often used for tagging documents.

Computer vision

Computer vision is the ability for computers to identify objects and people in images. It’s used for things like scanning documents and tagging them with metadata. It can also be used for things like facial recognition for things like client identification. - Machine learning algorithms - Machine learning algorithms are used so that computers can learn from the data they’re given. They’re used for things like predictive analytics and automated tagging.

AI and Machine Learning in Document Review

Document review is an essential part of many legal practices. It’s a time-consuming process that is often done by humans. But it also has a lot of potential to be automated with intelligent document processing. AI algorithms can help computers read through large amounts of documents and spot key data points. At the same time, the AI can take care not to read into the documents too much. It can read for facts and not for opinions. This helps keep things ethical and legal. Computer vision algorithms can read documents and return data points like dates, names, and dollar amounts. This can help make sure that every bit of data is read correctly and also helps prevent human error.

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 ## Conclusion There’s a big shift happening in the legal industry right now. The future is all about intelligent document processing, automation, and AI. It’s an exciting time to be in this industry. So why not take advantage of the latest AI technologies to improve efficiency and give your firm an edge?ph