SynApps by Purple Frog Text drives down costs and allows Pannone to surface knowledge across a range of departments
Manchester law firm Pannone has announced its implementation of SynApps, an Enterprise Information retrieval platform. Designed by innovative new company Purple Frog Text, SynApps offers rapid, scalable and intuitive desktop and mobile search.
Increasing volumes of data, together with changing regulation and issues introduced by legacy systems have presented a number of information retrieval challenges for Pannone.
After reviewing the Enterprise Search market, Pannone selected SynApps due to its scalability, ease of implementation, cross-platform support and bottom-up architecture. The Pannone team was particularly impressed with the intelligent, interactive, intuitive and adaptive search, its mobile capabilities and its user-oriented information organization.
“What really attracted us to SynApps was its ease of use, both in terms of aggregating and indexing content and the end user experience, and its flexibility,” said Pannone Business Services Director Luigi Salzano. “With Purple Frog's assistance and our strong on-going relationship we have unlocked significant time savings for fee earners, reducing the cost of serving our clients, which is good news for us and them.”
“Information plays a vital role in a law firm's success, yet research shows only a small percentage of corporate information is accessible and utilised,” said Masoud Saeedi, Managing Director of Purple Frog Text. “We are delighted to be able to assist Pannone in their Knowledge Management programme with our ground breaking software.”
Purple Frog Text is a new company specializing in Enterprise information retrieval, artificial intelligence and knowledge management. With a strong commitment to academic research, Purple Frog Text has been the recipient of a prestigious innovation award.
The cornerstone of their innovative technology stack is the search functionality which is the fundamental platform for enterprise knowledge management functions. The search technology is based on several areas in computer science including natural language understanding, artificial intelligence, information retrieval, text analytics (data mining), entity recognition and extraction.
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