AI-based Analytics: The key to business-led eDiscovery Casepoint

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Another common eDiscovery pitfall is the use of standard approaches for every case. Rather than dig in and discern data minimization and cost estimates for each case, many practitioners use generic formulas. Dubious tenets like "every stage of large cases goes to law firms" or "law firms always manage review for us" still rule the day. Teams automatically slap project planning formulas like 0 to 6 months for ECA, 6 to 12 months for full-blown eDiscovery and 12 to 24 months to finish eDiscovery, motions and trial preparations onto every eDiscovery project.


Active Machine Learning Now Available in the VenioOne Platform

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Venio Systems, the fastest growing eDiscovery technology provider, is excited to announce the availability of VenioOne Continuous Active Learning (CAL) in its latest release of VenioOne. After months of testing and incorporating feedback from our partners, as well as a hands on workshop for clients and partners held during ILTACON, VenioOne CAL is ready! VenioOne CAL is available to be added in the VenioOne platform for a one-time annual fee with no additional per document or gigabyte charges. While traditional technology assisted review (TAR) has been around for at least a decade, CAL, or TAR 2.0 as it is sometimes called, has only been around for the last several years and gotten serious attention in the last couple. At a time when the legal community is focused on the potential for artificial intelligence (AI) in the practice of law, the time for CAL to boost the speed of document reviews has finally arrived.


10 Legal Trends to Watch for in 2017

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The explosive growth of ESI has made for more costly, complex litigation and driven changes to the Federal Rules of Civil Procedure (FRCP). These changes will continue to shape e-discovery, and roles in e-discovery, technology and litigation support will continue to emerge. Median annual spend on corporate litigation expenditures Norton Rose "2016 Litigation Trends Annual Survey" $1,000,000 Special Eurobarometer 431 - Data protection, June 2015 of people say their explicit approval should be required in all cases before their data is collected and processed As 2016 winds down, here's a quick summary of the top legal industry trends, new and old, to watch for in 2017. LEGAL TRENDS E-DISCOVERY CHANGES TO WATCH FOR IN 2017 Artificial intelligence (AI) gets smarter every day. Its potential to automate tasks like TAR, map judicial predispositions to predict rulings or analyze opposing counsel tactics to help prepare defenses continue to grow.


Legal Technology Trends for 2017

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It is common, at the beginning of the year, to ponder upon what the year ahead will bring. Several experts have published their predictions for trends we can expect in legal technology, in 2017. So, what are they saying? Generally speaking, they expect lawyers to become more mobile, more collaborative (using the cloud do to do), and more responsive (using social media to engage with clients and potential clients). Cybercrime & Cyberwarfare, too, will remain in the news.


Canon Discovery Services Whitepaper: Artificial Intelligence Gaining Greater Acceptance in the Legal Profession

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Canon's whitepaper, "Artificial Intelligence Creates E-Discovery Efficiencies, Controls Costs," spotlights how the use of AI lets legal departments do more with less and frees attorneys to spend more time on legal-knowledge-driven work. Many attorneys are familiar with basic eDiscovery tools such as word searches to find relevant documents. AI, however, has moved beyond these basics. One powerful eDiscovery technology is predictive coding, which searches documents for context, concepts and tone. This can significantly increase accuracy and relevance in document review, in some cases enabling tasks to be completed in minutes, not days or months.