AI in Legal Services and Consulting: Drafting Gets Cheaper, Advice Does Not
Research and document review are accelerating, but clients still pay for issue selection, negotiation, evidence and professional responsibility.
Legal and consulting work contains large amounts of reading, comparison and drafting. AI can summarize a contract, build an issue list, organize interview notes and create a first presentation. These gains are real, yet they expose a distinction firms often blur: producing documents is not the same as giving sound advice.
01Where AI adds value
The best early tasks are reviewable and bounded. A model can compare clauses against an approved playbook, extract obligations or generate questions for further investigation. Consultants can use it to structure research and test alternative narratives, provided every important claim is checked against the underlying evidence.
02How professional value changes
Clients will become less willing to pay premium rates for routine formatting and generic research. They will still pay for identifying the decisive issue, understanding institutional context, negotiating trade-offs and accepting responsibility for a recommendation.
03The hidden danger
A fluent answer can hide fabricated authorities, missing jurisdictional context or confidential information sent to an unapproved service. Firms need matter-level access rules, source citations, confidentiality controls and clear restrictions on unsupervised client-facing output.
04A concrete 90-day pilot
Select one repeated deliverable with an established review process. Create an approved source set and a checklist for accuracy, confidentiality and jurisdiction. Compare turnaround time and correction burden against the old workflow. Track whether senior review becomes faster or merely shifts into harder error detection.
The firms that benefit most will not sell AI-generated pages. They will use faster preparation to deliver clearer, more defensible decisions.