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74 New AI tools and platforms are arming professionals with scalable, cloud- based solutions that improve the speed and quality of their work. Court reporters can generate real-time transcripts with speaker IDs that enhance accuracy, support faster turnaround times, and create a searchable record of events. With secure login access, other members of the case team can also access the same information remotely, reducing bottlenecks and enhancing collaboration. UNDERSTAND: TURNING TRANSCRIPTS INTO INTELLIGENCE WITH GEN AI AI's role goes beyond converting speech to text. By leveraging accurately generated transcripts with speaker IDs, generative AI provides immediate insights that would previously have required extensive manual review, thereby creating a strategic edge. Tools powered by large language models can generate executive summaries of depositions and other proceedings, flag inconsistencies within the testimony or against other materials, and draft follow-up questions for cross-examinations. Legal professionals can also interact with these tools conversationally, asking, for instance, "Did the witness contradict himself?" or "Are there any gaps in the timeline described by the witness?" APPLY: SEAMLESS INTEGRATION INTO LEGAL WORKFLOWS One of the biggest strengths of today's AI tools is their ability to plug right into the platforms that legal teams already rely on. From litigation and ediscovery software to law firm case management systems, these AI-driven solutions are designed to integrate seamlessly within existing workflows, resulting in faster adoption, reduced training requirements, and a more immediate impact. BEYOND HUMAN LIMITS Lawyers using AI tools can make more informed and more timely decisions. They can spot patterns that might be invisible to the human eye, surface anomalies across documents, and identify high-risk issues earlier in the litigation process. By combining human judgment with machine- driven intelligence, legal teams of all sizes can act with greater confidence and agility. SECURITY, PRIVACY, AND TRUST Data security, privacy, and trust remain primary concerns as AI becomes increasingly embedded in legal workflows, given the sensitive and personal nature of the client information at stake. Leading legal AI providers incorporate best practices, including end-to-end encryption in transit and at rest, secure cloud

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