Continental Europe News
RAVN Systems, leading experts in Artificial Intelligence (AI), Search and Knowledge Management solutions, is pleased to announce Simonsen Vogt Wiig engages with RAVN to increase efficiencies within the firm by adopting the RAVN Extract application.
RAVN Extract is an application built upon RAVN’s Applied Cognitive Engine (RAVN ACE), an AI platform which automatically reads, interprets and extracts key information from unstructured data into any desired business output.
Simonsen Vogt Wiig, a leading commercial law firm headquartered in Norway, engages with RAVN to improve efficiencies and consistency of review for due diligence matters within their Real Estate department through the use of intelligent automation.
Peter Van Dam, Knowledge and IT Manager at Simonsen Vogt Wiig, commented, "The software will read, interpret and extract key provisions from a client’s property lease agreements. This approach is a great supplement to manually laborious processes, and a stand-alone device in relation to certain standardized agreements and will mitigate risk from human errors and inconsistencies. SVW is happy to continue the collaboration with RAVN to further improve the SVW real estate robot."
Pål Brudvik, Partner at Simonsen Vogt Wiig, commented, “We are very impressed with what RAVN has shown us so far. We started this project within our Real Estate department and we’re eager to take this technology to the other sector teams to see how we can further improve services to our clients".
Dries Ausems, Sales Director, Europe, commented, “It’s great to work with the team at Simonsen Vogt Wiig as we continue to explore the different options to apply this technology in order to create new legal solutions”.
RAVN Systems has a combined experience of over 50 years in Enterprise Search and offers revolutionary, search-based solutions and capabilities across a broad spectrum of industry verticals. RAVN solutions and expertise deliver long-term value and competitive advantage from unstructured information and through deep analytics capabilities, mitigate business risk.
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