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49 I L T A N E T . O R G Effectively implementing AI/Gen AI- powered legal technology To drive adoption, you need to show value. How you implement the technology is critical. This is done through adding context, trust, and control. Context: Instead of asking the AI to pull out all the events from 20,000 case documents, providing background information about the case is far better. The more details provided, the better the analysis. For example, adding information about the legal topics, concepts, and issues surrounding the case, who the parties are, and what the areas of dispute are enabled the AI to understand better what it is looking for and deliver more accurate and helpful answers. Trust: Lawyers need to trust the information provided by their AI. If you ask a publicly available tool like ChatGPT a question, it will answer it, but is it right, or is it hallucinating? Winning or losing the case could depend on that answer. Lawyers will appreciate the value of AI, which can cite and link directly to a source when it suggests an event to add to the chronology. Control: If you are trying to solve a problem and someone keeps suggesting something that you know is wrong, it gets annoying, right? Lawyers will want the final say on what is added to the chronology. For example, let's look at the process of identifying characters in a case. Instead of manually finding the person's name, job title, address, etc., the AI looks for and stores this information just in case that person becomes essential in the case—providing context. When the lawyer wants to add the character, all this data is available without requiring manual entry. The Gen AI tool also analyzes how this character is related to the other characters in the case, what legal topics and issues connect them, and which events the character was associated with, along with relevant documents and sections of those documents establishing why the AI has made these associations — building trust. The legal professional can (and should) review this data, identify citations and links the AI used to make these connections and take the opportunity to redirect the AI if it is incorrect or has made faulty correlations. Ultimately, the human legal professional controls whether this data gets stored and added to the final work product. Conclusion Many of the frustrations with AI and Gen AI-powered advancements are not directed at the technology itself but at how we choose to use it. Like smartphones or laptops, AI/Gen AI is a tool that can be used to create solutions, not an end-all, be-all solution. Lawyers can see more efficient results using AI by asking the right questions, selecting tools that integrate with their current workflow, and layering in context, trust, and control. ILTA Raymond Bentinck is Chief Product Officer at Opus 2, a leading provider of legal software and services. Opus 2 helps legal teams build winning case strategies more efficiently. Their cloud- based solution streamlines litigation processes by centralizing documents, evidence, transcripts, chronologies, and witnesses in one collaborative workspace. Opus 2 serves a growing list of top law firms, including 100 percent of the top 50 international firms and 88 of the AmLaw 100

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