  The Archives Unleashed project aims to improve scholarly access to web
archives through a multi-pronged strategy involving tool creation, process
modeling, and community building - all proceeding concurrently in
mutually-reinforcing efforts. As we near the end of our initially-conceived
three-year project, we report on our progress and share lessons learned along
the way. The main contribution articulated in this paper is a process model
that decomposes scholarly inquiries into four main activities: filter, extract,
aggregate, and visualize. Based on the insight that these activities can be
disaggregated across time, space, and tools, it is possible to generate
"derivative products", using our Archives Unleashed Toolkit, that serve as
useful starting points for scholarly inquiry. Scholars can download these
products from the Archives Unleashed Cloud and manipulate them just like any
other dataset, thus providing access to web archives without requiring any
specialized knowledge. Over the past few years, our platform has processed over
a thousand different collections from about two hundred users, totaling over
280 terabytes of web archives.
