Enterprise Discovery just got better: EnCase joins Axcelerate at OpenText

Gold standard e-discovery collection & preservation joins award-winning review & analysis

On September 14, 2017, OpenText completed its acquisition of Guidance Software, makers of EnCaseEnCase and the Guidance team now join Axcelerate and the Recommind team at OpenText™ Discovery. Simply put, thinew union is poised to make e-discovery and investigations a whole lot better for corporate enterprises, and here are three reasons why.  

1. There’s nothing better than culling

Of the total cost of all U.S. litigation every year, roughly 70% is spent on discovery, and 70% of that discovery cost is spent on document review. That’s why anyone that has to pay for document review will tell you that the best documents are the ones you don’t have to review at all.

EnCase enables enterprises to cull data right at the source, efficiently reducing data volumes and collecting only what they need. Thousands of customers already conduct forensically-sound collections and preservation of data utilizing the industry standard EnCase Logical Evidence File (LEF) format, accepted in courts worldwide.

Once the data is collected, Axcelerate provides robust Early Case Assessment (ECA) capabilities—delivered through its renowned Smart Filters—to further reduce the amount of data that needs to be promoted to attorney review. Plus, Axcelerate pioneered Predictive Coding for document review, with continuous machine learning that can reliably reduce human review by (you guessed it) 70%.

2. Knowing is better than not knowing

The cost of e-discovery often drives tense negotiations, with corporate enterprises seeking to limit its scope based on the limited information they have. Meanwhile, unknown facts buried in enterprise data can leave legal teams uncertain about case strategy and their own tolerance for settlement.

EnCase enables early predictability around discovery; it helps legal teams gain the earliest possible insight into the cost and scope of potential litigation with continuous data assessment, to inform their negotiation strategy even before any data is actually collected.

In turn, Axcelerate excels at providing early insight into collected data with unsupervised machine learning. Leveraging visualized communication maps, conceptual analysis, and phrase analysis, legal teams can more quickly surface the critical facts that inform their case strategy.

3. You’d better not miss the data that matters

When conducting an investigation, gathering all the necessary data is essential. Not everything you need is accessible via e-mail archives or Enterprise Content Management (ECM) repositories, and that brings us to the endpoints: laptops, tablets, and mobile devices are critical sources of custodian data.

EnCase technology is deployed on over 35 million endpoints—more than any other endpoint solution—and supports over 26,000 profiles for phones, tablets, and smartwatches. EnCase lets you examine the entire data content stored on a target machine hard drive, including encrypted data, so you can always find what you need.

To ingest and manage your collected data, Axcelerate provides award-winning data processing and advanced analytics (multiple Legaltech Innovation Awards, 2015 and 2016), whether used on-premise, on-demand with full services, or via a virtual private Cloud subscription with services optional.

EnCase and Axcelerate provide unparalleled coverage of the EDRM (edrm.net)

Together, EnCase and Axcelerate provide unparalleled coverage of the EDRM from identification to production, with industry-leading capabilities along the way—like the EnCase LEF format, phrase analysis, Predictive Coding with continuous machine learning, and automatic redaction of personally identifiable information (PII). This unique combination will help OpenText deliver a seamless discovery experience for corporate enterprises.

Learn more today, and watch this space.

Hal Marcus

Hal is the Director of Product Marketing for OpenText Discovery. A licensed attorney, Hal practiced as a Wall Street litigator before commencing a career in technology that now spans over 20 years. He writes about practical applications of artificial intelligence, machine learning, advanced analytics, and business intelligence, particularly in the realms of information governance, e-discovery, and compliance. (Anyone with the name Hal is bound to have an interest in AI.)

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