Legal workflow management requires more than a chatbot

Most of what an in-house lawyer does day to day is a chain of steps and not a single question. Reformat a counterparty contract, redline it against the playbook, send it back. Pull every clause referencing data residency from the last fifty MSAs and turn it into a table for the GC. Translate a regulatory update into a board-ready brief by Friday.

These are workflows. They are also where AI has, until now, fallen short. It can describe what should happen at each step. It cannot run the steps

Today every Wordsmith conversation gets its own computer running behind it. We call it Wordsmith Computer. When you instruct Wordsmith to do something, it does it. The platform writes code, opens documents, runs workflows, scans live sources, builds files. The output is the work itself, returned to you, ready to use.

Four things that get significantly easier as a result.

Complex multistep workflows