On batch processing: one thing we've found is that customers often use tools such as Halcyon's to do research or build models; they basically want a matrix of questions (each with a fixed structured output format) and filters, so we've spent a bunch of effort enabling folks to easily produce these types of "spreadsheets".
On targeted notifications: Halcyon is constantly ingesting new data from a huge number of sources, so we can use our query pipeline to figure out which new documents are important to pay attention to and what they mean in context. For example (and trying not to delve too deeply into the world of energy), if Tesla files a comment on the rate case of a major California utility, we can figure out that (a) Tesla is an important party; (b) what Tesla's arguments are; and (c) how those arguments relate to the (potentially thousands) of filings that make up the rate case to date. We can summarize all that and notify folks who are interested in California rate cases.