AI in professional services.
By Career counseling

Everyone says AI can’t handle complex legal work.

Tell that to the 4,000 lawyers using it daily across 43 countries.

A&O Shearman and JPMorgan Chase didn’t get there by luck.

They followed the exact same 3-step deployment pattern. The results have been genuinely strong. Production numbers from thousands of lawyers doing live client work.

I build production AI systems for service businesses, and this is the same sandbox-to-scale pattern I follow with every deployment. Seeing it validated at this scale confirms the approach works whether you have 4,000 staff or 40.

I’ve broken the full framework into a carousel below. Swipe through and save it.

Here’s the breakdown:

✅ Step 1: Start with a sandbox
↳ Limited users. Ring-fenced environment.
↳ Identify every use case and risk before scaling.
↳ Establish governance protocols first.

A&O Shearman deployed Harvey to a handful of attorneys in late 2022. They mapped every risk, every failure mode, every governance gap. Only then did they roll out to 4,000 staff across 43 jurisdictions.

✅ Step 2: Ground AI in your best data
↳ Gold-standard precedents and internal policies.
↳ Firm-specific templates and clause libraries.
↳ This is what reduces hallucinations to near zero.

ContractMatrix does not pull from the open internet. It pulls from the firm’s own vetted precedents. That is the difference between a dangerous demo and a production system your clients can trust.

✅ Step 3: Keep humans in the loop
↳ Tracked changes on every AI-generated amendment.
↳ Expert review before finalization. Non-negotiable.
↳ AI accelerates the work. The lawyer makes the call.

JPMorgan’s COIN reviews 12,000 contracts per year in seconds. But no contract goes out without human sign-off. Reed Smith found the same pattern. AI accuracy improved when lawyers refined the queries. The machine proposes. The expert disposes.

The numbers:

↳ 30% faster contract review across A&O Shearman
↳ 360,000 hours saved annually at JPMorgan
↳ 2-3 hours per person per week reclaimed
↳ 2,000 lawyers using ContractMatrix daily

This same pattern works whether you have 4,000 lawyers or 40.