Cognitive Search & Analytics to Power Performance across your Enterprise
Sinequa & Thomson Reuters Intelligent Tagging (TRIT)
The rise of new software and applications designed to store, manage and warehouse data has meant that for many organizations, the challenge is not accessing data; it's being able to consolidate and index it effectively so as to extract the right contextual insight.
With data increasingly spread across a number of interna[ and external sources - including emails, notes, articles, PDFs, CRMs and databases - users are spending more and more time sifting through files, trying to locate relevant documents amidst the 'noise' returned by most searches.
That's where Sinequa's leading cognitive search & analytics platform, combined with Thomson Reuters Intelligent Tagging cames in. Using natural language processing and machine learning techniques, our joint solution helps you consolidate and analyze data across your enterprise with greater accuracy and efficiency, resulting in search results that return relevant information and lead to higher performance.
Download the whitepaper.
90% of the information relevant to investigations and audits hides in unstructured sources such as documents, emails, and chat messages. Yet, the common investigative and audit tools only handle structured information. As a result, investigators try to fill the gap with manual effort, wasting up to 10 hours per week hunting for clues.
We’ve entered a new age of workplace demands. Firms are under constant pressure to maximize billable hours, manage growing masses of legal documents, and have higher client expectations than ever before. To address these needs effectively, firms need a fast, efficient way for lawyers and staff to reuse knowledge and make the best decisions possible. This eBook will share best practices for doing just that.