Powering Data Breach Response with AI: A Case Study

Powering Data Breach Response with AI: A Case Study

At Seyfarth, I’m not just an attorney—I’m also an ethical hacker and digital forensic expert, and I’m proud to be one of several “attorneys who code” at Seyfarth. Here, we’re passionate about technology, and we routinely seek creative ways to leverage innovations that enhance client services.

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In a Packed Room at EDI 2019, There Are Signals That AI is Maturing

In a Packed Room at EDI 2019, There Are Signals That AI is Maturing

The new PwC UK Law Firms Survey has just published a landmark statistic: 100% of top UK law firms are using or piloting AI. It’s the first time we’re seeing the figure of “100%” in the context of AI adoption. “AI has started to mature," the study concludes. It’s no wonder we packed the room last month at EDI. The audience was there to sort all the generalized excitement around AI and seek practical ways to bring it in.

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At #TheInevitable 2019: "This is the Kind of Risk You Can't Put a Number On"

For our second year hosting #TheInevitable, Text IQ brought together a hand-picked crowd of thought leaders that don’t normally get to interact: CPOS, CIOs, CISOs, GCs—and some of the world's top researchers in AI. Our coverage is below.

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Law Firms Face Tough Questions About Life After AI

I was in Portland last month at PREX 2019 to host a panel titled: “Tech Spotlight: The Case for AI in a Privacy-Conscious World.” One topic that came up in the discussion was the impact that AI adoption will have on the law firm business model. My musings and coverage are below.

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Case Study: 4 Ways We Increased Speed for an HSR Second Request

Case Study: 4 Ways We Increased Speed for an HSR Second Request

The parties to a large acquisition received a second request for information from a government agency. One party hired hired a top law firm to fulfill the request as quickly as possible, and as the time-pressure built, the firm brought in Text IQ.

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Transforming Responsive and Privilege Reviews with Artificial Intelligence

Transforming Responsive and Privilege Reviews with Artificial Intelligence

“AI” is a lofty term that doesn’t have a universal definition. And in fact, AI is not even new. The field of research in artificial intelligence was established at Dartmouth College in 1956. The term “machine learning” was coined three years later by a man named Arthur Samuel, who taught a computer to play checkers.

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Examining the Class Action Discovery Burden

Examining the Class Action Discovery Burden

Rule 23 of the Federal Rules of Civil Procedure and its state analogues, which govern class action lawsuits in the United States, may be the most important laws in modern litigation.  In an era when most civil suits settle, class actions dominate the settlement landscape. Given the trend towards higher settlement values, recent Supreme Court opinions that have been interpreted as anti-class-plaintiff are turning out to challenge class action defendants. In this article, we examine these recent rulings, trends, and challenges in class action litigation settlements.

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How AI Can Overcome the 5 Choke Points in Privilege Review

How AI Can Overcome the 5 Choke Points in Privilege Review

At Text IQ, we developed our solution because we found many stages in the privilege review process where current methods were inefficient and inherently risky. These stages represent choke points that our technology—AI for Sensitive Information—can overcome.

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This AI-Powered Workflow is Transforming Privilege Review

This AI-Powered Workflow is Transforming Privilege Review

Text IQ has applied artificial intelligence to privilege review, a process that is historically risky, inefficient, and costly. The diagram below demonstrates the literal transmutation of privilege review with Text IQ.

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Operationalizing Machine Learning for GDPR

Operationalizing Machine Learning for GDPR

With its General Data Protection Regulation, Europe is calling on United States companies to rethink some of their core business models and data processes. And as organizations contend with life after GDPR, many of them are finding that the only thing they need to change about their data strategy is... everything. 

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