Peer to Peer: ILTA's Quarterly Magazine
Issue link: https://epubs.iltanet.org/i/1533864
P E E R T O P E E R M A G A Z I N E ยท S P R I N G 2 0 2 5 53 T he legal sector is no stranger to artificial intelligence (AI). However, it is rapidly shifting from an administrative tool used for research, document review, and contract analysis to an insight-providing game-changer for lawyers in courtrooms. Today's AI technologies provide attorneys with real-time, strategic analytics, allowing them to build more substantial cases, detect inconsistencies in witness testimonies, and gain an edge over opposing counsel. By leveraging AI for deposition analysis, admission tracking, and case strategy, lawyers are moving beyond traditional manual processes and embracing a more data-driven approach to litigation, using the technology to extract information from vast amounts of case documents and leaving no word unturned. AI AS A STRATEGIC LEGAL TOOL According to a recent survey by US Legal Support, AI-driven legal technology plays an essential role in litigation support, with more than half (52%) of firms surveyed noting familiarity with the technology and 26% reporting active use of AI tools in 2024 (https://www.uslegalsupport.com/ blog/litigation-support-trends- survey/). Additionally, 49% of firms emphasized the importance of AI integration in litigation support services. As law firms look for ways to improve efficiency, streamline workflows, and gain deeper insights from case data, AI is becoming a key driver of innovation in legal technology. Here are some of the ways AI can reshape legal strategy: INCONSISTENCY DETECTION A single inconsistency in a witness statement can change the trajectory of a case. Spotting these inconsistencies, however, especially across multiple depositions and testimonies, can be a challenge for even the most skilled legal professionals. AI can analyze witness testimony in real time and compare statements across various records to identify contradictions, discrepancies, or key missing details. These tools use natural language processing and machine learning to detect subtle variations in phrasing, tone, and factual content, enabling attorneys to challenge witnesses more effectively. BY MATAN BARAK

