Unstructured data is how data is typically found in the wild. It’s oil that is still in the ground or vegetables that are still in the garden. Some work needs to be put in before it can be used. A typical example of unstructured data in Legal NLP is a set of contracts that live within a document management system.
It’s often the case that Machine Learning can be used to go from unstructured data in the form of contracts to structured data in the form of fields extracted from the contracts. This structured data can then be used to inform analytics and create insights for the business.