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Copilot or ChatGPT: What a Professional Services Firm Should Choose, and Why the Tool Is the Smaller Decision

Writer: Danielle Wintrip, CM
Danielle Wintrip, CM
Sep 23
3 min read

Updated: 6 days ago


Business owners, professionals, lawyers … nearly everyone who knows that I work in AI asks me: should we use Copilot or ChatGPT? It's a reasonable question with a sensible answer. But before you decide which tool to use, there is a strategic and foundational question to ask. 


And that is:  Why are you using or would you use AI in your business? My answer is efficiency, which means day- working faster, so more of that day goes to work that requires deep thinking, evaluation, client work, and decision making: the things only a person can do. Once that's the goal, the tool question mostly answers itself, because efficiency at a professional services firm has three conditions attached.


Condition one: the AI has to know your work


Context is key for chatbot style AI interfaces. Without it, ChatGPT will make up an answer because generative AI is probabilistic and not deterministic. The chatbot’s responses are dependent on the knowledge it has that relates to its question.


Copilot sits inside Microsoft 365, which means it sits inside your Outlook, your Word documents, your Teams meetings, and your OneDrive and SharePoint folders. This is called data grounding: the AI's answers are anchored in your own material rather than the open internet. Grounded output of making performing a task with AI faster.  An AI that knows which meeting or document you're talking about is considerably more useful than one confidently summarizing a meeting that never happened.


Condition two: it has to be secure


Professional services firms hold confidential information as a matter of course, such aws  client data, financial records, personnel files, and privileged communications. The question  to ask before any AI tool touches your material is simple: where does the data go, and who else can see it?


The Copilot vs ChatGPT comparison decisions tend to swing in favour of Copilot when security is considered. . Copilot runs on OpenAI and Anthropic models, inside Microsoft's secure environment, under Microsoft's enterprise data protection. Your prompts and documents stay within the Microsoft 365 boundary that your IT team already governs, with the same permissions, retention rules, and access controls you have today. A consumer ChatGPT account is quite different from Copilot’s. Some business tiers of ChatGPT add stronger protections, and they're worth evaluating. But they're a new environment to govern, separate from the one your firm already controls.


Condition three: privacy has to be a policy

Privacy governance decisions form an AI policy about what your people are allowed to put into an AI tool and what they aren't. Law firms, indeed, all professional firms have already matched good intentions with robust privacy and governance already, to fulfill regulatory obligations. 


The advantage of a tool that lives inside your existing environment is that it gives the firm a place to apply the rules. Your IT team can see usage, apply the permissions it already applies to email and documents, and decide what work remains human-performed. Not everything needs an AI solution; sometimes a person doing the job is a perfectly respectable piece of technology.


So, Copilot or ChatGPT?


For most professional services firms already running on Microsoft 365, the answer is Copilot. Not because it's smarter (the underlying models are of the same class), but because it meets the three conditions without adding a new environment to manage. ChatGPT remains a useful tool for individuals, and I have taught using ChatGPT in my own course for business owners. It just isn't the foundation for a firm-wide rollout where confidentiality is the job.


Why the tool is the smaller decision


The significant decision is to use the tool you chose, not to choose the tool. And that means considering how AI is used in daily work. For example, what tasks, what roles, what tasks in what roles, in addition to policy rules, implementation follow up and measuring if the tool is used. This is the  work I do with firms as an AI Copilot implementation consultant. We look at AI readiness and then isolate repeatable work directly with the people doing the tasks that could be shared with AI


If your firm has Copilot and you want to assess or see greater efficiency, or you're deciding between tools and want to make the best decision, book a call.

 
 
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