Combating the crime of money laundering is one of the great challenges of criminal policies of modern states. This criminal modality is used to finance various illicit activities, making it necessary for governments to identify the innumerable ways in which crime is processed, tracking the illicit products generated and maintaining networks of international cooperation to confront this phenomenon. Brazil has its own legislation for the repression of money laundering, counting on the Financial Intelligence Unit (former COAF), being in line with international recommendations in the fight against crime. Expanding the challenges already faced, it is necessary to develop new protocols to combat the illicit, following the evolution of criminal organizations and macrocriminality. To this end, this research demonstrates the need to create modern investigation methodologies, using tools that can process and identify suspicious activities in a voluminous set of data, including financial, telephone, telematic and documentary records. Through standard recognition techniques, data mining and link analysis, investigative agencies can produce more efficient results and identify new information to build an adequate evidence set.
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