A walk-through of intake, drafting and research tasks ranked by how safely they can be automated.
Key takeaways
Every engagement carries administrative weight that clients never see and firms rarely bill for directly: intake forms, conflict checks, first-draft documents, background research. This is where AI has the clearest, least controversial impact, because the output is reviewed before it ever reaches a client.
The mistake many firms make is jumping straight to the most ambitious use case, an AI that drafts entire opinions, rather than starting with the administrative layer where the return is fastest and the risk is lowest.
AI can collect client information upfront, organise it against a standard checklist, and flag anything missing before the first substantive meeting. That means the professional's time goes into understanding the client's actual problem, not administering forms.
This is especially valuable for firms with high client volume and relatively standardised intake, common in accounting and many consulting practices.
AI can produce a structured first draft of a contract, memo, or report using your firm's own templates and past work as reference. A professional then edits and finalizes it, the same review discipline applied to any junior-drafted work.
Firms that get the most value here invest time upfront feeding the tool their actual precedents and house style, rather than relying on generic templates that need heavier editing.
AI-assisted research can summarise sources and surface relevant material far faster than manual search, but the interpretation and the final conclusion remain the professional's responsibility, with sources checked before they're relied upon.
Treat any AI research summary as a strong first pass that still needs verification against primary sources, not a substitute for that verification.
A 30-minute call is enough to tell you whether AI pays for itself here.
