In this paper then, we have taken the same basic approach to decision detection as<cite> Fernández et al. (2008)</cite> , but changed the way in which it is implemented so that it can work effectively in realtime. Our implementation changes include running the detector at regular and frequent intervals during the meeting, and reprocessing recent utterances in case a decision discussion straddles these and brand new utterances. The fact that the detector reprocesses utterances means that on consecutive runs, overlapping and duplicate hypothesized decision discussions are possible. We have therefore added facilities to merge overlapping hypotheses and to remove duplicates.