The growing availability and practicality of artificial intelligence (AI) technologies such as machine learning and Natural Language processing within the legal sector has created a new class of tools that assist legal analysis within activities like legal research, discovery and document review, and contract review. Often, the promised value of these tools is significant, while lingering cultural reluctance and skepticism within the legal profession can lead to hyperbolic reactions to so-called “robot lawyers,” both positive and negative. What is often lacking is evidence-based assessments of the impact of the growing market of AI-enabled legal tools on both the successful practice and business operations of legal organizations.
In order to assist organizations with their assessments of this new class of legal solutions, Blue Hill is committed to developing research programs that provide grounded assessments of the measurable impact of AI solutions within real-world legal use cases. As a product of that effort, this Benchmark Report summarizes the observations made in a study conducted by Blue Hill with a research panel of 16 legal researchers. This study compares the impact of traditional legal research tools, such as Boolean search and Natural Language search, with use cases of the ROSS Intelligence AI-supported legal research platform to supplement these traditional tools. For the purposes of this comparison, the analysis is in the context of United States Bankruptcy law research, although ROSS Intelligence uses the same underlying technology for all research products.
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