This talk discusses the challenges faced by the UK Local Planning Authorities (LPAs) in managing written representations from the community for their Local Plans. The volume of information can be overwhelming, making it difficult for LPAs and the Planning Inspectorate to review and assess plans. The talk presents a case study that explores the potential of Large Language Models (LLMs) to streamline the analysis of representations, with significantly reduced processing time and improved accuracy.