JLL signs global agreement with Leverton to automate lease management - Seite 2

"Leverton has the potential to work seamlessly alongside our existing digital tools and applications to offer increased transparency, and help clients meet regulatory requirements and make more informed decisions about their real estate activities."

About LEVERTON
LEVERTON develops and applies disruptive deep learning / machine learning technology to extract and manage data from corporate documents in several international languages. Our clients optimize their contract management significantly, manage operational teams more efficiently and process transactions faster. LEVERTON brings smart data at corporations' fingertips that is completely ERP consumable.

Know what's inside your corporate documents. Contact us at www.LVN.com.

Berlin, Germany | London, United Kingdom | New York, NY, USA

About JLL
JLL (NYSE: JLL) is a professional services and investment management firm offering specialized real estate services to clients seeking increased value by owning, occupying and investing in real estate. JLL is a Fortune 500 company with, as of December 31, 2015, revenue of $6.0 billion and fee revenue of $5.2 billion, more than 280 corporate offices, operations in over 80 countries and a global workforce of more than 60,000. On behalf of its clients, the company provides management and real estate outsourcing services for a property portfolio of 4.0 billion square feet, or 372 million square meters, and completed $138 billion in sales, acquisitions and finance transactions in 2015. As of September 30, 2016, its investment management business, LaSalle Investment Management, has $59.7 billion of real estate assets under management. JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated. For further information, visit www.jll.com.

*About machine learning technology
 Machine learning technology is a type of artificial intelligence which, in this case, means that computers can 'learn' to pick out key information amongst pages of lease documents without being explicitly programmed.

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Lorena Sanchez
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Contact:
Emily Hodson
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