Why ‘Go to Trial’ AI Must Be Accurate
Effective 'Go to Trial' AI in litigation requires process-driven accuracy across vast data sets to surface relevant material. AI models have limitations, such as context windows, that can lead to errors and hallucinations if not addressed.
Success in litigation is built on process, not just courtroom flair. AI can be effective in litigation if built on a system that understands the rigorous process leading to success at trial. Traditional search methods have limitations, such as keyword searches missing context. Modern AI tools can understand context and work through large document sets at scale. However, AI models have limitations, including context windows that can only comprehend a limited number of pages. TrialView's Case Intelligence functionality can organize tens of thousands of documents into categories and analyze data based on a deep understanding of litigation. This allows legal teams to command the entire corpus of evidence and surface connections across the material.
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