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We present the first report of automatic sentiment summarization in the legal domain. This work is based on processing a set of legal questions with a system consisting of a semi-automatic Web blog search module and FastSum, a fully automatic extractive multi-document sentiment summarization system. We provide quantitative evaluation results of the summaries using legal expert reviewers. We report baseline evaluation results for query-based sentiment summarization for legal blogs: on adoi:10.1145/1568234.1568253 dblp:conf/icail/ConradLSK09 fatcat:imnarbauozbixgd32zzlly7m5m