LLMs Rival Specialized Tools in Privacy Policy Analysis Tasks
A systematic evaluation finds that off-the-shelf large language models (LLMs), specifically GPT-5.2 and Gemini-2.5, can match or exceed the performance of six specialized privacy policy analysis tools across tasks such as contradiction detection, regulatory compliance analysis, and summarization. In manual labeling tasks, LLMs achieved precision up to 91.4% and recall up to 70.9%, demonstrating their ability to perform tool-specific functionalities without additional domain-specific training.
Why it matters: This study suggests that general-purpose LLMs could serve as effective alternatives to specialized privacy analysis tools, potentially reducing costs and simplifying compliance workflows.
Full story at: arXiv Cryptography and Security ↗