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DTSTART;VALUE=DATE:20251117
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UID:10001928-1763337600-1763769599@haystackid.com
SUMMARY:Microsoft Ignite 2025
DESCRIPTION:Microsoft Ignite 2025\nJoin HaystackID® at Microsoft Ignite 2025. Ignite isn’t just another technology conference—it is the global stage where IT professionals\, developers\, security leaders\, and data innovators confront the most urgent challenges of our digital era. From navigating the explosion of generative AI and Copilot integration to defending against increasingly sophisticated cyber threats\, enterprises are under pressure to adapt faster than ever. Business and technology leaders must harness vast streams of data\, balance innovation with compliance\, and defend their organizations against threats that evolve daily. Missteps can be costly—whether through compliance failures\, regulatory scrutiny\, or gaps in incident response. \nThat’s why Microsoft Ignite 2025 is more critical than ever. The event unites Microsoft engineers\, industry experts\, and technology leaders to provide real-world strategies\, product innovations\, and hands-on training to meet these challenges head-on. Attendees will gain practical insights into Microsoft 365\, Azure\, Security\, Purview\, and Copilot\, ensuring their organizations are prepared not only to innovate but to do so securely\, responsibly\, and at scale. \nEvent Details \nMicrosoft Ignite brings together global technology leaders to explore innovations across Microsoft 365\, Azure\, Security\, Copilot\, and data/AI. Attendees will experience product deep-dives\, hands-on labs\, and opportunities to engage with Microsoft engineers and partners. \n+ Date: November 17–21\, 2025\n+ Venue: Moscone Center\n+ Location: San Francisco\, CA \nLearn more and register for Microsoft Ignite 2025. \nSee What’s Possible with Core Intelligence AI™  \nDiscover a smarter\, faster\, and more secure way to manage document review. Core Intelligence AI combines advanced automation with the power of GenAI to elevate every phase of your eDiscovery process—from classification and contextual analysis to automated summaries and sensitive data detection. Gain the precision you need\, the efficiency you want\, and the insights that move matters forward. Chat with our experts at Microsoft Ignite or schedule time with us to learn more.  \n  \n\nAt HaystackID\, we are committed to fostering a safe and respectful environment for all event participants. We stand firmly against all forms of inappropriate behavior. As part of our dedication to ensuring a harassment-free experience\, we actively support and adhere to the principles outlined by the American Sociological Association (ASA) Working Group on Harassment and the National Sexual Violence Resource Center (NSVRC) Employer’s Pledge. We encourage open dialogue\, immediate reporting of misconduct\, and strict adherence to our corporate responsibility efforts to protect our community’s integrity and well-being. Together\, let us create a welcoming and safe environment for all. \nAssisted by GAI and LLM technologies.
URL:https://haystackid.com/event/microsoft-ignite-2025/
LOCATION:San Francisco (Moscone Center)\, 747 Howard Street\, San Francisco\, CA\, 94103\, United States
CATEGORIES:Industry Events
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DTSTART;TZID=America/Chicago:20251119T120000
DTEND;TZID=America/Chicago:20251119T130000
DTSTAMP:20260610T041403
CREATED:20250916T151046Z
LAST-MODIFIED:20251124T132339Z
UID:10001941-1763553600-1763557200@haystackid.com
SUMMARY:[Webcast] How Academic-Centric AI Projects are Driving Legal Tech R&D
DESCRIPTION:When organizations lack the resources to rigorously test cutting-edge AI tools\, who fills the research gap? A collaboration between Worcester Polytechnic Institute (WPI)\, HaystackID®\, and Relativity® demonstrates how academic partnerships can accelerate innovation. A team of WPI undergraduates conducted comprehensive benchmarks of large language models (LLMs) and developed a working prototype for AI-driven legal document classification. \nThe nine-month project tackled real challenges facing eDiscovery professionals: how do different LLMs perform on legal datasets\, what processing methods yield the highest accuracy\, and how can confidence thresholds improve classification reliability? The students evaluated over 10 models\, introduced novel enhancements to hypergraph neural networks\, and built a live web application that achieved 94% accuracy with Claude 3.7 Sonnet—surpassing many industry benchmarks. \nThis webcast will explore the practical insights emerging from academic-industry collaboration\, including zero-shot prompting techniques and document length optimization\, as well as the finding that documents without unique keywords often classify more accurately than those with specialized legal terminology. Beyond the technical results\, the project exemplifies a scalable model for legal tech R&D that benefits both industry partners seeking rigorous testing and academic institutions preparing the next generation of AI-literate legal professionals. \nAttendees will learn about: \n\nReal-world testing of Claude 3.7\, o3-mini\, and Qwen2.5 on legal datasets.\nLessons in zero-shot prompting\, model confidence\, and topic accuracy.\nHow academic partnerships can accelerate R&D and platform innovation.\nStrategies to build the next generation of AI-literate legal professionals.\n\nWebcast Details  \n+ Original Date: Wednesday\, November 19\, 2025 \n\nExpert Panelists  \n+ Aron Ahmadia\, PhD \nSenior Director\, Applied Science at Relativity \nAron is the Senior Director for Applied Science at Relativity\, where he leads the development of AI capabilities for Relativity One\, including AI-Assisted Review\, Analytics\, and Search. He is an internationally recognized expert on machine learning and artificial intelligence. His specializations include the use of AI in Legal Discovery\, Model Risk Management\, and Responsible AI. Aron holds a Ph.D. in Applied Math from Columbia University and a B.S. in Computer Engineering from the Illinois Institute of Technology. \n\n+ Roee Shraga\, PhD \nAssistant Professor\, Computer Science\, WPI \nBefore joining WPI\, Roee Shraga was a Postdoctoral fellow at the Khoury College of Computer Science at Northeastern University in Boston. His research mainly revolves around data discovery and integration\, and combines techniques from data management\, machine learning\, information retrieval\, and human-in-the-loop. His research has been published in top-tier conferences such as SIGMOD\, VLDB\, SIGIR\, WWW\, and ICDE. He is a recipient of the Council for Higher Education [VATAT] scholarship for outstanding data science postdocs. He is also a recipient of several PhD fellowships\, including the Leonard and Diane Sherman Interdisciplinary Fellowship (2017)\, the Daniel Excellence Scholarship (2019)\, and the Miriam and Aaron Gutwirth Memorial Fellowship (2020). \n\n+ John Brewer [Moderator] \nChief Artificial Intelligence Officer and Chief Data Scientist\, HaystackID \nAs HaystackID’s Chief Artificial Intelligence Officer and Chief Data Scientist\, John focuses on bringing the latest advancements in artificial intelligence and data science technologies to the eDiscovery and incident response markets. Having worked with HaystackID since 2015\, Brewer has been a software engineer and information technologist for over two decades\, with experience spanning dozens of Fortune 500 companies in technology leadership roles\, including eDiscovery\, data migration\, and information stewardship. Brewer has also been at the forefront of new data technology throughout his career. He spearheaded HaystackID’s adoption of large-scale technology-assisted review\, positioning the company as one of the first to embrace this transformative approach. Recognizing the need for efficient processing in the face of the aggressive timelines associated with breach work\, Brewer played a pivotal role in developing the suite of AI-based machine learning tools that power HaystackID’s review process\, including his recent work on Protect Analytics AI™\, an AI-enabled platform that can precisely identify and classify a wide array of internationally sensitive data types and entities. \n\nAbout HaystackID®  \nHaystackID solves complex data challenges related to legal\, compliance\, regulatory\, and cyber events. Core offerings include Global Advisory\, Data Discovery Intelligence\, HaystackID Core® Platform\, and AI-enhanced Global Managed Review powered by its proprietary platform\, ReviewRight®. Repeatedly recognized as one of the world’s most trusted legal industry providers by prestigious publishers such as Chambers\, Gartner\, IDC\, and Legaltech News\, HaystackID implements innovative cyber discovery\, enterprise solutions\, and legal and compliance offerings to leading companies and legal practices around the world.  HaystackID offers highly curated and customized offerings while prioritizing security\, privacy\, and integrity. For more information about how HaystackID can help solve unique legal enterprise needs\, please visit HaystackID.com.     \nAssisted by GAI and LLM technologies.    \nSource: HaystackID  
URL:https://haystackid.com/event/webcast-how-academic-centric-ai-projects-are-driving-legal-tech-rd/
LOCATION:Virtual\, United States
CATEGORIES:Webcasts
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