LONDON, April 8, 2016 /PRNewswire/ --
RAVN Systems, experts in Artificial Intelligence, Enterprise Search and Knowledge Management solutions, is pleased to announce they have been shortlisted for the 'Supplier Innovation - Technology Award' at Legal Week's Innovation Awards 2016.
RAVN was shortlisted for this award for their revolutionary Artificial Intelligence robot, RAVN ACE, a cutting-edge Artificial Intelligence solution which reads, interprets and extracts specific information from documents. It converts unstructured data into a structured output, in a fraction of time it takes a human - and with a higher degree of accuracy.
This technology has already proved successful as international law firm Berwin Leighton Paisner (BLP), won the award for 'Best Use of Technology' at the British Legal Awards 2015 for its use of a RAVN ACE robot within one of its legal practices.
RAVN Systems also won recently 'Best Enterprise Start-up 2016' at the Techies Awards for their success with the ACE robot.
Peter Wallqvist commented: "We are delighted to be shortlisted for these awards and our continued success within the legal market. The use cases for RAVN ACE are virtually unlimited. In addition to law firms implementing a variety of automated review processes, RAVN is working with organisations from the Media, Telecoms, Professional Services and Financial Service sectors to revolutionise their handling of unstructured data. Use cases include automated Due Diligence, Document Review, Contract Assurance, Governance and Financial Instrument processing."
The Legal Week Innovation Awards will be held on 27 May 2016 at The Brewery, London EC1 UK. For more information please visit:
About RAVN Systems
RAVN Systems has extremely broad and deep experience with Unstructured Data processing and offers revolutionary, search-based and cognitive computing solutions for any information intensive vertical. RAVN expertise and solutions deliver long-term value, competitive advantages and help manage and mitigate risk through surfacing and harnessing the information contained within unstructured data.
For more information please visit http://www.ravn.co.uk
SOURCE RAVN Systems