The pursuit of justice relies on a fair and impartial legal system, but how can we ensure transparency and hold the courts accountable? A new research paper explores the potential of Large Language Models (LLMs), like those powering ChatGPT, to automate the detection of bias and errors within the judicial process. Traditionally, uncovering patterns of injustice has required painstaking manual analysis of countless legal documents. Take, for instance, the Curtis Flowers case, where reporters spent a year meticulously examining records to expose racial bias in jury selection. LLMs offer the promise of streamlining this process, potentially revealing hidden prejudices in jury selection and housing eviction cases. The researchers investigated two key areas: jury selection in criminal trials and housing evictions. Both processes involve mountains of paperwork, making manual audits slow and difficult. LLMs could automate the extraction of key information from these documents, such as juror demographics, trial details, and the reasons for eviction. However, significant hurdles remain. Legal documents are often unstructured, vary widely in format, and may contain handwritten notes. LLMs can struggle to interpret these nuances, sometimes misinterpreting crucial information, which could lead to skewed results with serious downstream consequences. Early experiments show promising results on simpler tasks, like extracting juror names or property zip codes. But more complex tasks, such as identifying Batson challenges (objections to biased jury strikes) or determining settlement types in eviction cases, prove more challenging for LLMs. These difficulties underscore the need for better OCR technology to convert handwritten text and for training LLMs on larger datasets of legal documents. The researchers also highlight the importance of legal changes to standardize document formats and improve data accessibility. The potential for AI to transform judicial transparency is undeniable, but successfully integrating LLMs requires careful consideration of their limitations and the ethical implications of their use. Further research and collaboration between legal experts and AI developers are crucial to ensure that these powerful tools are used responsibly and effectively to promote a more just and equitable legal system.