RAVN Systems, experts in Artificial Intelligence, Enterprise Search, Unstructured Big Data analytics and Knowledge Management solutions, is pleased to announce that one of its clients, international law firm Berwin Leighton Paisner (BLP), has won the award for Best Use of Technology at the British Legal Awards 2015. This was for its use of a RAVN ACE robot within one of its legal practices.
BLP has used RAVN ACE to create what it believes to be the UK’s first contract robot, to work within its Real Estate Disputes practice, putting it at the cutting edge of innovation in the legal sector. It allows lawyers to focus on higher value work for clients. This application has captured the imagination of the industry, and was featured on a BBC series focusing on the use of AI across a number of different industries.
RAVN ACE is a cutting-edge Artificial Intelligence solution which reads, interprets and extracts specific information from documents. It converts unstructured data into structured output, in a fraction of the time it takes a human – and with a higher degree of accuracy.
BLP’s contract robot uses ACE core functionality to extract data from standard legal documents, cross-check the data internally, check it against external sources, and write the output into a structured form, making it ready for the next stage of the process.
Wendy Miller, Partner and Joint Head of Real Estate Disputes, commented: “By using RAVN ACE, we’ve been able to deliver fantastic results to our clients. The technology allows us to work more effectively and efficiently, ensuring that our lawyers are able to get on and do what they do best; offering the best legal advice possible. Being recognised by our industry is a fitting tribute to the work that we have been doing in leading and implementing the most cutting edge technology in the legal world.”
The award ceremony was held on the 25th November 2015 at Old Billingsgate Market and showcased the achievements of the UK’s legal community.
For more information on BLP’s use of Artificial Intelligence see the case study.