ZyLAB Launches Legal Hold Solution
Enhanced platform now available for sending and tracking of legal hold notices continuing in ZyLAB’s methodology focusing on ease of use.

TYSONS, Virginia, January 25, 2021: ZyLAB, manufacturer of ZyLAB ONE eDiscovery, announced the launch of its new Legal Hold application for corporations and governments.

A legal (or litigation) hold is a notification sent by an organization’s legal department to inform employees of current or pending litigation that will impact their handling of electronically stored information (ESI) pertinent to the case. Many corporations today still issue legal holds manually and painfully track responses via spreadsheets.

ZyLAB Legal Hold provides an easy-to-use Software-as-a-Service (SaaS) solution that allows organizations to deploy a fully-configured legal hold management system within their enterprise within hours. Custom message templates, automated reminders, custodian questionnaires and the ability to automatically integrate and synchronize with their corporate directory eliminates risk and vastly increases the efficiency for corporate legal teams to manage their hold process.

“ZyLAB ONE Legal Hold truly completes our next-generation SaaS offering to the eDiscovery community. It brings together best-of-breed infrastructure and security with ease-of-use for our customers and tightly integrates to our collection and review platform.” says Dennis van der Veeke, CEO of ZyLAB.

“Our new application was built from the ground-up to streamline the legal hold process for corporations who routinely have to notify and manage hold tracking.” says Jeffrey Wolff, Director of Legal Technology for ZyLAB. “Real-time dashboards along with detailed reporting and a self-service custodian portal will vastly reduce the amount of time organizations spend on this often manual process.“

ZyLAB Legal Hold is available now to organizations in North America.

About ZyLAB
Founded in 1983, ZyLAB is a proven solution partner to legal professionals in corporations, law firms and governments worldwide. Its flagship solution, ZyLAB ONE is an end-to-end eDiscovery system used to facilitate information requests in litigation, regulatory responses, internal investigations and public records. Visit www.zylab.com for more information

Contact information:
1775 Tysons Boulevard, 5th Floor
Tysons, VA, 22102
703-442-2400
sales@zylab.com

/by Jeffrey Wolff

ZyLAB Adds Audio Review to eDiscovery
Audio and video analysis will enhance the ZyLAB ONE platform and provide new abilities for its users across all markets

TYSONS, Virginia, January 25, 2021: ZyLAB, manufacturer of ZyLAB ONE eDiscovery, announced the integration of Intelligent Voice Audio Review to their platform.

Intelligent Voice’s solution is already successfully helping law firms and government agencies around the world to ingest, transcribe, analyze and review vast amounts of audio, in a secure environment, freeing up valuable lawyer time and cutting down on costs. By automatically transcribing and indexing audio and video files, the new combined solution makes audio review as easy as reviewing any other document. The new enhancement lets users ingest and search vast quantities of audio securely using Intelligent Voice’s unique ultra-high-speed GPU-powered speech recognition algorithms. Working across more than a dozen languages and dialects, IV’s market leading SmartTranscript™ technology cuts review time by 70%.

“Audio files and video recordings make up a large part of the data that needs to be reviewed in legal fact-finding missions.” says Yaron Goldstein, Chief Technology Officer at ZyLAB. “The integration of IV’s speech review software in our eDiscovery platform allows our customers to directly review these video and audio files, saving them valuable time in the review process.” Nigel Cannings, Chief Technology Officer of Intelligent Voice states “We believe that ZyLAB’s approach to audio and video review places them in a leadership position in the eDiscovery space, and we are delighted to be working with them.”

Audio Review will be available shortly to all ZyLAB ONE customers in both the North American and European markets and will be priced by the amount of audio hours indexed.

About ZyLAB
Founded in 1983, ZyLAB is a proven solution partner to legal professionals in corporations, law firms and governments worldwide. Its flagship solution, ZyLAB ONE is an end-to-end eDiscovery system used to facilitate information requests in litigation, regulatory responses, internal investigations and public records. Visit www.zylab.com for more information

About Intelligent Voice
Intelligent Voice Limited is a global leader in the development of proactive compliance and eDiscovery technology solutions for voice, video and other media. Its clients include government agencies, banks, securities firms, Call-Centres, litigation support providers, international consultancy, advisory businesses and insurers, all involved in the management of risk and meeting of multi-jurisdictional regulation. Visit www.intelligentvoice.com for more information.
TYSONS, Virginia, January 25, 2021: ZyLAB, manufacturer of ZyLAB ONE eDiscovery, announced the integration of Intelligent Voice Audio Review to their platform.

Contact information:
1775 Tysons Boulevard, 5th Floor
Tysons, VA, 22102
703-442-2400
sales@zylab.com

/by Jeffrey Wolff

For a limited time, Wolters Kluwer’s ELM Solutiosn will conduct a personalized CLM savings consultation and waive the first full year of CLM Matrix software subscription fees on new orders.

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eDiscovery itself is a big data challenge, but recent advances in AI and machine learning can help mitigate risks by breaking down the silos of individual cases and leveraging prior case data. Lighthouse’s Karl Sobylak discusses the benefits of bringing technology to bear to understand large data sets at scale in a recent blog: http://ow.ly/QbzZ50COKK8

/by Karl Sobylak

eDiscovery itself is a big data challenge, but recent advances in AI and machine learning can help mitigate risks by breaking down the silos of individual cases and leveraging prior case data. Lighthouse’s Karl Sobylak discusses the benefits of bringing technology to bear to understand large data sets at scale in a recent blog: http://ow.ly/QbzZ50COKK8

/by Karl Sobylak

As data volumes continue to grow so does the need for AI and machine learning. In fact, adopting AI can be a catalyst for revitalizing your organization’s ediscovery model. Lighthouse’s Rob Hellewell makes the case for AI including cost reduction, lower risk, and improved win rates in a recent blog: http://ow.ly/MoNs50CMwws

/by Rob Hellewell

Artificial intelligence, advanced analytics, and machine learning are no longer new to the ediscovery field. While the legal industry admittedly trends towards caution in its embrace of new technology, the ever-growing surge of data is forcing most legal professionals to accept that basic machine learning and AI are becoming necessary ediscovery tools.

However, the constant evolution and improvement of legal tech bestow an excellent opportunity to the forward-thinking ediscovery legal professional who seeks to triumph over the growing inefficiencies and ballooning costs of older technology and workflow models. In this article, we provide you with arguments on how leveraging the most advanced AI and analytics solutions can give your organization or law firm a competitive and financial advantage, while also reducing risk.

/by Rob Hellewell

Expanding data volumes are having a significant impact on ediscovery, but what are the specific challenges being faced? Lighthouse’s Nick Schreiner outlines six challenges when working with large data sets and offers up insights into how to address these challenges with data re-use, AI, and big data analytics in a recent blog: https://lnkd.in/dYjcY6W

/by Nick Schreiner

Onit ReviewAI – Contract AI Review that Increases Velocity & Reduces Risk

Onit’s ReviewAI software uses artificial intelligence (AI) to quickly and accurately review, redline, and edit all types of contracts in minutes. Non-legal business users can now automatically receive a reviewed, redlined, and approved contract via email or self-service portal in less than two minutes. For more hands-on functionality, the ReviewAI Word Add-in designed for lawyers and contract professionals automatically drafts, reviews, redlines, and edits contracts against corporate standards. Precedent learns as you work, and comes with a wide range of pre-trained skillsets so you can quickly configure the AI for use on a wide range of use cases, including NDAs, MSAs, SOWs, purchase agreements, lease agreements, employment agreements, construction and sub-contracting agreements and many more. When paired with a contract lifecycle management system like Onit’s, organizations obtain an AI-driven workflow that automates the entire contract lifecycle from creation to execution.

With ReviewAI, corporate legal professionals can:

– Approve contracts 60-70% faster 
– Review and redline a contract in 2 minutes or less
– Increase user productivity by up to 51.5%
Learn more here 0r schedule a demonstration here.
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These days, it seems impossible to talk about eDiscovery or document review without mention of Technology Assisted Review (TAR). In its broadest use as a technical term, TAR can refer to virtually any manner of technical assistance – from password cracking to threading to duplicate and near-duplicate detection. In its narrower use, TAR refers to techniques that involve the use of technology to predict (or to replicate) the decision a human expert would make about the classification or category of a document. In this narrower sense, TAR often comes with a version number – TAR 1.0, TAR 2.0, and more recently, TAR 3.0. While some are inclined to advocate for the superiority of a single approach, each version has its merits and place, and understanding the underlying process and technology is crucial to selecting the right approach for a specific discovery need.

We recently authored a white paper to offer a discussion of the variables to consider when choosing the right TAR workflow for a specific matter, as well as the main principles behind different TAR solutions. By doing so, we make the claim that true preparedness lies in understanding the range of core technology within the TAR landscape, and further knowing how and where to access the right combination of people, process, and technology to meet any discovery need.  If you or your team have had mixed results with TAR, or want some guidance on deciding your approach with TAR in your next matter, you may find this paper helpful.

/by Brian Meegan