The AI Policy / Law landscape has large numbers of documents being published every few days from industry, national and international institutions (OECD, WEF, WIPO, etc). For those interested in understanding how particular topics in this landscape are evolving (for example, algorithmic transparency), the volume and frequency of new information makes the task insurmountable. The idea behind this summer research project would be for an intern to help automatically parse these documents, to get an overview of things like frequency / variability / context of use for key terms, to help visualise these in readable formats, and to potentially also support researchers by directing them to important sections of the text. The document provides a relevant resource repository of AI policy and law.