Our research for Digital Catapult focused on two specific areas of Natural Language Processing: abstractive text summarisation and extractive text generalisation. Following extensive research and testing, we discovered algorithms that would be most efficient at providing an insight into the contents of a passage, whilst also adapting existing methodologies that aim to automatically remove sensitive information about individuals and companies. BLEU (BiLingual Evaluation Understudy), METEOR (Metric for Evaluation of Translation with Explicit ORdering), SpaCY and numerous other metrics were utilised in the process of developing an algorithm that would be most effective at imitating human speech and limiting access to confidential information without distorting original meaning.