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As the amount of data in discovery continues to escalate, easing the pain, time and cost of document review during e-discovery remains a leading goal for organizations and their legal teams. Forward-looking organizations are seeking deeper insight into their data, along with ways to leverage current review for future uses. Over the years, attorneys and providers have experimented with many different approaches, processes and technologies to manage document review, yet they find themselves still struggling to manage data effectively and defensibly.'
In this environment, an emerging market trend ' language-based knowledge extraction ' holds the promise of greater strategic insight, improved efficiencies and cost-saving advantages during document review. Knowledge extraction achieves the objective of identifying relevant documents and understanding what those documents actually say at the beginning of the review process as opposed to the end.
Why is it that those who are best skilled at advocating for others are ill-equipped at advocating for their own skills and what to do about it?
There is no efficient market for the sale of bankruptcy assets. Inefficient markets yield a transactional drag, potentially dampening the ability of debtors and trustees to maximize value for creditors. This article identifies ways in which investors may more easily discover bankruptcy asset sales.
The DOJ's Criminal Division issued three declinations since the issuance of the revised CEP a year ago. Review of these cases gives insight into DOJ's implementation of the new policy in practice.
Active reading comprises many daily tasks lawyers engage in, including highlighting, annotating, note taking, comparing and searching texts. It demands more than flipping or turning pages.
With trillions of dollars to keep watch over, the last thing we need is the distraction of costly litigation brought on by patent assertion entities (PAEs or "patent trolls"), companies that don't make any products but instead seek royalties by asserting their patents against those who do make products.