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Knowable is dedicated to publishing interesting fact-based content and true stories of human kindness, compassion and achievement, and all things worth knowing. We highlight personal confessions, professional secrets, and a wide variety of human interest stories. Our content serves the audience of George Takei and beyond--and may feature contributions from his audience, as well. Here at Knowable, we know what you like! Our editorial team aims to humor, surprise and delight you with our daily content. They scour the internet for the hidden gems, keeping a keen eye on what’s trending, and serve you only the best of the best. So, keep calm and scroll on! Knowable is an Oh Myyy property. Oh Myyy LLC is co-owned by George and Brad Takei (through Hosato Enterprises, Inc., a California corporation) and The Social Edge Network, Inc., a Delaware Corporation, whose principal stakeholders and officers are Lorenzo Thione (CEO) and Jay Kuo (CCO). Source

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Scope International
Language English
Country United States of America
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Before AI Can Act, It Has to Understand: Building AI That Actually Works

| Knowable
Where to Start In a recent episode of the Law Next podcast, Knowable CEO Nik Reed put it plainly: While AI tools can produce fast, fluent answers, those answers are only as reliable as the data beneath them. And in the legal world where accuracy isn’t a luxury, this becomes the line between a system that legal professionals can rely on and one that loses their trust immediately. Legal understanding goes beyond surface-level text. Contracts have an operative nature that is essential for action.
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By Clinton Cannon
| Knowable
AI can do a lot. But should it do everything on its own? In this new article published by Contracting Excellence Journal from WorldCC, Knowable’s Lead Data Scientist, Lynette Shaw, explores what it really takes to apply AI effectively in high-stakes legal environments. The focus is on executed agreement management. As AI systems become more powerful, the risks of overreliance grow too. Mistakes that may be harmless in email drafts or image generation can become serious problems in contracts.
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Knowable CEO, Nik Reed on Lessons Learned from Building Quality AI for Legal

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By Clinton Cannon
| Knowable
LegalAI is everywhere, but how much of it actually works in practice? In this episode of LawNext, Knowable CEO, Nik Reed sits down with host Robert Ambrogi to share hard-earned lessons from more than a decade in legal tech. From his early days as cofounder of Ravel, through its acquisition by LexisNexis, to his current role at Knowable, Nik offers a grounded perspective on how to build technology that legal professionals can actually trust and use.
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Knowable Launches Revolutionary "Ask Knowable" AI Suite, Serving Elegant Answers Quickly and Securely

| Knowable
New York, NY – March 25, 2025 – Knowable, a LexisNexis® company and leader in enterprise contract intelligence, proudly announces the commercial launch of “Ask Knowable,” an innovative AI suite designed to revolutionize how organizations interact with and understand their contracts.
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Knowable Unveils Groundbreaking "Ask Knowable" AI Suite Powered by Accurately Structured Contract Data

| Knowable
New York, NY – November 19, 2024 – Knowable, a LexisNexis® company and pioneer in enterprise contract intelligence, today announced the commercial preview of “Ask Knowable,” a revolutionary AI suite that transforms how organizations interact with and understand what’s in their contracts.
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Special Announcement: Nik Reed Takes Over as CEO to Lead Next Phase of Growth

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By Karen McFarlane
| Knowable
From SVP to CEO Nik co-founded Ravel Law, where he played a pivotal role in developing the legal industry’s first case law language analytics tool that used machine learning to sift through millions of legal documents to surface insights into judges, cases, and attorneys. After Ravel was acquired by LexisNexis in 2017 and rebranded as Context, he successfully led the integration into the LexisNexis analytics portfolio.
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Navigating Legal Complexities: Five Essential Takeaways from Our Recent Roundtable

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By Karen McFarlane
| Knowable
Legal departments are grappling with unprecedented challenges as businesses strive to meet the demands of a rapidly changing future. In-house legal teams must become more agile and proficient in navigating the risks and implications of geopolitical conflicts, regulatory compliance, and the complexities of business transformation.
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We asked AI: What are the consequences of using Machine Learning in Legal Review?

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By Karen McFarlane
| Knowable
ChatGPT seems to have all the answers, so we decided to see how honest it would be about itself. Its answers were revealing. Join us for this ongoing blog series called “We Asked AI…” to learn how artificial intelligence in its various forms might perform when used for contract management. What are 5 examples of ML failure in legal review that could have negative consequences for F500 companies? Machine learning (ML) systems, including those used for legal review, are not immune to failures.
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Knowable and PayPal win the WorldCC Innovation & Excellence Award for Outstanding Cooperation and Collaboration

| Knowable
Knowable is delighted to have received an award for Outstanding Cooperation and Collaboration with PayPal in the 2023 World Commerce and Contracting (WorldCC) Innovation and Excellence Awards. Now in their 10th year, these prestigious awards showcase the very best from the international contracting and commercial management #CCM community, with recognition given both globally and regionally.
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CLOC Ask The Experts: Is ChatGPT or Machine Learning the Right Tool for Analyzing Your Contracts?

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By Karen McFarlane
| Knowable
Is ChatGPT or Machine Learning the Right Tool for Analyzing Your Contracts? Yes and no. As the volume of contracts continues to surge, the demand for accurate and efficient contract analysis has never been more critical. But is ML/AI the answer to all your problems, or is there a deeper story beyond the hype? In this webinar, we’ll talk to in-house legal experts to discuss the world of contract analysis and its intersection with ML/AI.
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Knowable Journalists

Christnot, Amelia Mavis
Reed, Nik

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