Staffing Problems: A Case Study in Getting AI to Do Real Work
Curating calls for papers for legal academics is real work requiring staff to read sources in different formats, extract deadlines, classify topics, catch duplicates, and ultimately to exercise judgment about what is and what is not an opportunity to publish. The Docket, our Python and JavaScript CFP aggregator, staffs this work with AI agents driven by Claude models from Anthropic. A fast, inexpensive model handles routine extraction across hundreds of sources; a more capable model solves problems; we adjust the system when they get it wrong.