Machine learning for more efficient data extraction in legal documents

The project aims to develop a Knowledge Graph of a domain created by legal experts through intelligent machine learning algorithms.


   Project Duration

  

2 years

  Project Funders

Allen & Overy

  Funding Amount

£500,000

About the Project

This project will develop machine learning techniques for more efficient data extraction. Because of their structure, knowledge graphs allow us to capture related data the way the human brain processes information through the lens of people, places, processes, and things. Knowledge graphs, backed by a graph database and a linked data store, provide the platform required for storing, reasoning, inferring, and using data with structure and context.

This plays a fundamental role in providing the architecture and data models that enable machine learning (ML) and other AI capabilities such as making inferences to generate new insights and to drive more efficient and intelligent data and information management solutions.