Join industry experts for an EDRM webinar on leveraging GenAI to streamline workflows, enhance efficiency, and transform document review. Watch the replay and get a free book on Generative AI for Smart Discovery Professionals.
GenAI for Smart Discovery Professionals: EDRM Webinar Read More »
Discover the transformative potential of Generative AI and Large Language Models in legal practice with “Generative AI for Smart Discovery Professionals: An Introduction to Large Language Models.” Authors John Tredennick and Dr. William Webber offer a comprehensive, accessible guide to understanding and leveraging GenAI and LLMs for streamlined discovery workflows, document review, and analysis. Learn key concepts, practical applications, and navigate data security concerns in this essential resource for legal professionals.
Generative AI for Smart Legal Professionals (2d Ed.) Read More »
Introducing TranscriptPartner, powered by Merlin’s advanced Generative AI. TranscriptPartner is changing the way legal professionals handle deposition transcript summaries. By leveraging the power of artificial intelligence, TranscriptPartner can deliver high-quality, accurate summaries in minutes, at a fraction of the cost of manual summarization.
U.S. Legal Support presents Merlin Search Technologies in an exclusive master class on how to unlock the potential of Generative AI for your practice.
Master Class: Navigating the Legal Landscape with Generative AI Read More »
Merlin Search Technologies partners with U.S. Legal Support to provide DepoSummary Pro, a GenAI-powered deposition summary service. Merlin’s AI technology generates multi-layered summaries to streamline case preparation and strategy for legal professionals.
Discover how GPT-4o, OpenAI’s latest omnimodal AI model, is revolutionizing the GenAI landscape with advanced capabilities in image recognition, audio and video processing, multi-lingual support, and enhanced speed and analytical performance.
The Empire Strikes Back: GPT-4o Regains the Lead in the GenAI Race Read More »
Building a proprietary AI language model may seem appealing, but requires careful consideration of potential challenges and costs compared to using commercial models.
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