Articles

ABBYY helps global logistics company automate document processing

ABBYY has announced its role in helping Rhenus Assets & Services – the Shared Services Centre of the global logistics company – to process up to 1.8 million documents annually in the form of incoming invoices, delivery notes, and many other paper documents. Following central processing and classification of the documents, data from incoming invoices are read according to business rules and then passed to the workflow-based approval process in SAP.

Knowledge Management as a Strategy

In the information technology industry today, information is our primary asset. Information is what we provide to the business. Information is also pivotal for the success of the IT organization in providing valuable services to the business.

Law firm pioneers ‘contract robots’

International law firm Berwin Leighton Paisner (BLP), has created what it believes to be the UK's first contract robot, to work within its Real Estate practice, putting it at the cutting edge of innovation in the legal sector.  The company says it will allow lawyers to focus on higher value work for clients.

LTPI launches ediscovery “glossary of terms”

Are you clear on the difference between Native and Tiff Production in ediscovery? Or how about a Native File versus NSF file? A new Production Glossary of technology terms used in the practise of eDiscovery has been released for public comment by the Legal Technology Professionals Institute (LTPI), a US legal tech industry association.

Optical Character Recognition Can Mean Bad Analytics

Even in today’s digital world, documents proliferate in every part of an organisation – from accounts management (invoices, checks, and remittances) and human resources (employment applications and benefits forms) to engineering and manufacturing (design documents) and sales and marketing (sales plans and marketing collateral). Documents remain a key vehicle for making transactions and business processes work, and so document management continues to be a challenge. Optical character recognition (OCR) was the initial answer to many document-management woes, but in the age of big data analytics, OCR shortcomings can result in bad analytics.

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