Automate LPP review using Artificial Intelligence

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Benefits

The LPP Robot uses state of the art AI (Artificial Intelligence) techniques to automatically read through vast document collections, such as case material in litigation, as well as other document types, to determine whether individual items are subject to LPP. The accuracy levels achieved by the Robot making these determinations now surpass traditional manual efforts and is several orders of magnitude faster.

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The RAVN ACE for LPP review solution

The solution exploits supervised iterative Machine Learning models inside the RAVN ACE (Applied Cognitive Engine) platform, meaning the Robot will become more accurate over time. It is a technological leap from legacy predictive coding methods that sometimes are used today. The certainty levels over classification accuracy can be adjusted to desired levels of recall to alleviate any misclassification concerns.

RAVN ACE allows you to take the next leap in information retrieval – Instead of manually having to sift through all of the information, RAVN ACE can do it automatically. ACE uses artificial intelligence to automatically read, extract and summarise information held within documents. Just like humans do but much faster and more accurately. It leaves you to focus on interpreting the output.
RAVN ACE is either hosted or on-premise and allows you to handle more data, more complex tasks and larger cases in less time.

Ace Cognitive Computing

Results

Usage statistics indicate a radical reduction in time taken to perform the LPP review using the Robot. In most cases, the reduction in total time taken to perform the review with the LPP Robot exceeds 80%, including the administrative overheads of deploying the Robot.

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Watch our Case Study on BLP’s use of RAVN ACE

See how RAVN ACE has benefited Berwin Leighton Paisner in terms of increasing efficiencies, mitigating risk, cutting costs as well as increasing staff morale.

 

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    RAVN's platform has allowed us to implement our vision of providing integrated, secure and effective access to our knowledge resources. 
    
    
     
    Robin Hall, Head of Knowledge Management at Howard Kennedy
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    RAVN is one of a number of innovative solutions that the business is implementing as part of IT's 2020 vision aligned to improve efficiencies and productivity benefits across the firm
    
    
     
    Clive Knott, IT Director at Howard Kennedy
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    Our primary goal here is to leverage knowledge to accelerate business and deal decision-making and to harness the collaborative power of a multi-geography growth markets organisation. RAVN Connect is an important component in a differentiation we bring to our investors around how we share knowledge and get to more dynamic decisions on deal flow. Additionally, it helps us harness macro-economic, sectoral and functional knowledge flows seamlessly and is ultimately a major competitive advantage for us.
    
    
     
    Ovais Naqvi, Managing Director – Head of Market Engagement at Abraaj
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    It's likely to save us tens of millions of pounds in lost revenue.
    
    
    
     
    Horia Selegean, Head of Revenue & Margin Assurance at BT
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    Sky are committed to using the latest innovations to ensure our customers receive the best possible viewing experience. RAVN’s AI component has allowed us to successfully automate the EPG review process which has dramatically reduced the review time as well as ensuring we maintain robust and compliant information">
    
    
    
     
    Angus Gairdner, Head of Content Planning Operations at Sky
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    By adopting this innovative platform we are able to quickly focus on the high value and high risk contracts within large data sets, simply categorise and divide up tasks and ultimately provide a more responsive service to our clients. We are now looking to roll out the RAVN solution to live client matters within the firm
    
    
     
    Lucy Dillon, Chief Knowledge Officer at Reed Smith
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    The RAVN solution effortlessly made all of our operational content, valuable precedent and knowledge content discoverable within the firm’s chosen collaboration and Search platform, Microsoft SharePoint. As such, the disruption for users was negligible, yet the benefits from efficient search, preview and expertise location across a geographically distributed organisation have been significant.
    
    
     
    Jeremy Rooth, Director of Business Transformation & Knowledge Management
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    RAVN Manage and RAVN Connect Enterprise supplement our current systems extremely well. With both systems, searches become even more efficient and documents may be retrieved significantly faster than before. The fact that the systems understand how people work together and are able to spot cohesion through entire cases is a real strength in our daily operations. In Bech-Bruun, this is a highly strategic focus area. Moreover, RAVN is a pioneer in the area and we consider this as the first step to full implementation of AI.
    
    
     
    Stefan Winqvist, CIO at Bech-Bruun
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    RAVN ACE robot is 10 million times quicker than the manual labour it replaced
    
    
    
    
     
     
     
     
    Matthew Whalley, Head of Legal Risk Consultancy, BLP, Legal Futures Event Quote
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    Our 'contract robot' can now finish in less than two seconds work which would have taken a team of people 100 days to complete.
    
    
     
     
     
     
    Matthew Whalley, Head of Legal Risk Consultancy at BLP
  • 
    RAVN were very good at adapting a technical product and speaking about it in a non-technical way. We explained the problems we were facing and they offered a solution and explained it in an easy-to-understand and user friendly way.
    
    Victoria Blanchard, Consultant at Berwin Leighton Paisner
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    RAVN ACE is the most exciting new development we’ve seen for several years…a true next generation system
    
    
     
     
     
     
    Independent Legal IT Consultant at Inside Legal IT event

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Read our ACE for LPP Review Brochure

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