Abstract: Big data evidence is the product of deep integration of big data and the legal field. As a new form of evidence, the volume of big data evidence data is huge and highly dependent on algorithm technology, which displays different characteristics from that of traditional evidence. The main content of review of big data evidence is correlation and authenticity. Correlation includes data correlation, technical correlation and conclusion correlation, while authenticity also involves data authenticity, technical authenticity and conclusion authenticity. In order to build a scientific and reasonable review of big data evidence, it is necessary to clarify the legal status of big data evidence, create the rules for review of big data evidence, and improve the cross-examination mechanism of big data evidence.