Welcome!

Containers Expo Blog Authors: Liz McMillan, Pat Romanski, Yeshim Deniz, Elizabeth White, Zakia Bouachraoui

News Feed Item

Catalyst Unveils Advanced Predictive Coding Tool Insight Predict

Proprietary Predictive Ranking(SM) Algorithms Work With Rolling Collection to Accommodate Real-World Workflows in Document Review

NEW YORK, NY -- (Marketwire) -- 01/29/13 -- Today at Legal Tech New York, Catalyst Repository Systems, Inc., a pioneer and long-time industry leader in cloud-based document repositories for e-discovery and other complex legal matters, announced the release of its integrated predictive coding tool for e-discovery, Insight Predict. With Insight Predict, review teams are able to identify the most relevant documents much earlier in the review process, making the entire review workflow more focused and efficient. Catalyst is showcasing Catalyst Insight Predict at Legal Tech, Booth #2401-2403.

"Insight Predict revolutionizes the way corporate legal departments and law firms approach the entire review process," said John Tredennick, CEO of Catalyst. "With Insight Predict, legal teams are able to run smarter searches and identify relevant documents faster, document tagging is more accurate and consistent, and attorneys can identify key legal issues and assess exposure much earlier in the process. All of this translates into more efficient, less expensive review."

Catalyst Insight Predict seamlessly integrates into Catalyst Insight, the first cloud-based e-discovery platform to harness the power of a Big Data XML engine.

Catalyst's Insight Predict is based on more than four years of experience using and testing predictive coding techniques. It uses artificial intelligence to streamline and enhance human review. Insight Predict distinguishes itself from most predictive coding applications available today in several ways:

  • The technology employs contextual diversity sampling and other statistical techniques to rank each document based on a sample, or "seed set," from a larger population of documents. Review experts review the sample and rank documents for relevance, thereby "training" the program to calculate the relevance of documents on its own.
  • In an iterative, self-correcting process called Predictive Ranking(SM) -- Catalyst's proprietary process for technology assisted review -- Insight Predict feeds additional samples to the expert to test or validate their relevance and to progressively improve the accuracy and precision of its rankings.
  • It is not necessary to have a complete collection of documents to create a statistically valid result. Insight Predict was designed specifically to work dynamically with rolling data input, which aligns closely with the review process in the real world, where rolling collection is the norm.

"The great thing about Insight Predict is that you can add new documents of any type at any time," said Tredennick. "You don't have to wait weeks or months until all the documents in a big case are collected. And you don't have to repeat step one of the standard workflow when those additional documents arrive."

For more information on Insight Predict, download our technical white paper here. For more information about Catalyst Insight, click here.

About Catalyst

For over 14 years, Catalyst has pioneered innovative, reliable e-discovery technology and services for professional law firms and in-house counsel from many of the largest organizations in the world. Catalyst's intuitive, secure cloud-based e-discovery platform, Insight, is built for tomorrow's big cases today, helping corporations save money, gain control of their data and easily manage the complexities of matters involving multiple jurisdictions, languages, law firms and parties. Insight's unprecedented scalability allows legal teams to manage big data discovery efficiently, control litigation costs and achieve more accurate and cost-effective review. Please visit Catalyst at www.catalystsecure.com for more information.

Media Contact:
Shana Graham
Plat4orm PR
206.661.6336
Email Contact

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...