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Seal Software Joins Content Analyst at LegalTech New York 2015 to Address Machine Learning and the Enabled Enterprise
  • USA - English

Seal Software (PRNewsFoto/Seal Software) (PRNewsFoto/SEAL SOFTWARE)

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Seal Software Limited

02 feb, 2015, 11:15 GMT

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-- Industry Veteran Christina Wojcik, Vice President of Legal Services, Joins Industry Leaders on Panel at Largest Legal Technology Event of the Year

SAN FRANCISCO, Feb. 2, 2015 /PRNewswire/ -- Seal Software, the leading provider of Contract Discovery and Analytics solutions, today announced it will join Content Analyst Company to discuss Machine Learning and the Enabled Enterprise at LegalTech® New York 2015. Taking place Wednesday, Feb. 4, at 10:30 a.m. EST at the Hilton New York, Christina Wojcik, Esq., and vice president of Legal Services for Seal, will join TCDi, Ari Kaplan Advisors and Content Analyst, to address how machine learning methods are not only saving thousands of hours of manual search across unstructured content, but exposing valuable insights for the purposes of contract analytics, contract lifecycle management and intellectual property protection.

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Utilizing proprietary natural language processing and machine learning methods, Seal's platform is the only solution on the market that enables multiple levels of customer control and customization, including non-standard clause detection based on customer definitions. Seal's solution streamlines the contractual document review and analysis process and delivers results up to 80 percent faster than traditional industry practices. Wojcik, an industry veteran, will leverage her experience in legal services to provide insight into what is expected of legal firms and the solutions and services that can help deliver results.

"We look forward to participating at this year's event and examining how companies are leveraging machine learning methods in unique, valuable ways," said Wojcik. "Legal service firms are under pressure to deliver high-volume, high-quality services including document review, corporate transaction support, and customized clause extraction services under tight budgets and deadlines. As a result, there's an acute need to have technology-enabled services to increase efficiency with large volumes of unstructured data."

The panel, Machine Learning Powered Rapid Insight into Big Content: Discovery from Contracts to Patents to Litigation, will explore how machine learning methods are transforming the way organizations manage large amounts of unstructured content across the enterprise. Speakers, including Wojcik, will provide insight into how to reduce risk and obtain maximum value from the 80 percent of big data that is unstructured across enterprises and how machine learning enables organizations to find valuable content and information hidden within that data.

LegalTech provides an in-depth look at what the technological world has in store for law firms and legal departments. Legal technology is ever changing and the conference provides lawyers the ability to stay on top of this evolving industry to improve their law practice management. LegalTech is part of ALM Conferences and Tradeshows, a leading producer of educational and networking events for business leaders and professionals. For more information visit: www.legaltechshow.com.

About Content Analyst Company, LLC

Content Analyst provides rapid insight into big content via their proven, high performance Advanced Analytics that exponentially reduce the time needed to discern relevant information from unstructured content. CAAT, their dynamic suite of text analytics capabilities, delivers significant value wherever knowledge workers need to extract insights from large amounts of unstructured content. Content Analyst's capabilities are easily integrated into any software solution, and their support strategy for partners is second to none. For more information visit: www.contentanalyst.com.

About Seal Software

Seal Software, the leading provider of contract discovery, extraction and analytics solutions, enables companies around the world to effectively manage their contract portfolio by understanding exactly where their contracts are when needed and, more importantly, what is buried within them, in order to maximize revenue opportunities, mitigate risk and reduce expenses.

Seal Contract Discovery and Analytics automatically locates unstructured contract data wherever it resides in an organization. This easily deployable solution can rapidly process thousands of contracts, reducing years of manual process time to hours. The Seal Contract Discovery and Analytics platform is the only solution available on the market that is truly customizable, leveraging a unique blend of standard industry technology, including Machine Learning methods and Natural Language Processing, and proprietary patented technology, which includes "non-standard" clause detection based on customer-defined boundaries. By combining the richness of standard global industry extraction models with the dynamic flexibility of client-configured models, organizations can confidently extract all key contractual terms and clauses and render them for easy yet comprehensive review. Organizations can quickly and effectively populate and update corporate contract repositories, seamlessly integrating with leading customer relationship management (CRM), contract lifecycle management (CLM), and enterprise resource planning (ERP) solutions out-of-the-box.

The Seal platform is used within 8 out of 10 of the top Legal Process Outsourcing (LPO) providers, legal review and advisory firms, delivering increased visibility into time-critical opportunities and risks while alleviating contract review processes and technical challenges. For more information, visit Seal Software at: www.seal-software.com. Connect with Seal Software on Twitter (@sealsoftware), Facebook (@SealSoftware) and LinkedIn.

All corporate names and trademarks are the property of their respective companies.

This news release contains forward-looking statements that reflect the Company's expectations with regard to future events. Actual events and speakers could differ from those anticipated in this document.

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