Chicago Business Attorney Blog
If your business is using AI, you are already taking on legal risk
Most companies do not realize this yet.
They think AI is:
•a productivity tool
•a marketing advantage
•a harmless internal resource
What they are not seeing is the legal exposure being created in real time.
If your team is using tools like ChatGPT, Claude, or Google Gemini, you are not just adopting technology.
You are creating:
•new categories of liability
•new discoverable records
•new compliance obligations
Below are the five most common legal mistakes I am seeing right now, and how to fix them before they become expensive problems.
1. Treating AI like it is private or protected
The mistake
Employees are inputting:
•confidential business data
•employee information
•legal questions
•strategic decisions
into AI tools assuming it is “internal” or “safe.”
It is not.
Why this is a problem
AI conversations are:
•not protected by attorney-client privilege
•often stored
•potentially discoverable in litigation
That means what your team types today could become evidence tomorrow.
How to fix it
•Prohibit entry of sensitive or legal content into AI tools
•Define what “confidential” means in your AI policy
•Train employees on real-world risk, not theory
2. Using AI for legal or HR decisions
The mistake
Managers are using AI to answer questions like:
•“Can we terminate this employee?”
•“Is this contract enforceable?”
•“Are we compliant?”
Then acting on the answer.
Why this is a problem
AI:
•does not know your jurisdiction
•does not know your full facts
•is not accountable
And most importantly, it does not create privilege.
If that decision is challenged, the AI interaction may become part of the record.
How to fix it
•Draw a clear line: AI supports, lawyers advise
•Require legal review for:
•employment decisions
•contracts
•compliance questions
3. Failing to update contracts for AI risk
The mistake
Companies are:
•using AI vendors
•integrating AI into workflows
•relying on third-party tools
without updating contracts.
Why this is a problem
Most agreements do not address:
•AI-generated outputs
•data usage and ownership
•liability for errors or misuse
That creates gaps in:
•indemnification
•responsibility
•risk allocation
How to fix it
•Add AI-specific clauses to vendor agreements
•Address:
•data handling
•output ownership
•liability limits
•Review SaaS agreements with AI exposure in mind
4. Publishing AI-generated content without legal review
The mistake
Marketing teams are using AI to create:
•blog posts
•ads
•product claims
•social content
and publishing without oversight.
Why this is a problem
AI can:
•generate false or misleading claims
•infringe on intellectual property
•create compliance issues in regulated industries
This exposes companies to:
•FTC issues
•IP disputes
•reputational damage
How to fix it
•Require review of AI-generated content before publishing
•Establish guidelines for:
•claims
•sourcing
•originality
•Treat AI output like a junior employee, not a final draft
5. Not having an AI policy at all
The mistake
Most companies have no formal policy governing:
•how AI is used
•what is allowed
•what is prohibited
Why this is a problem
Without a policy:
•employees make their own decisions
•risk becomes inconsistent and unpredictable
•liability increases
From a legal standpoint, lack of policy can also:
•weaken your defense
•suggest lack of oversight
How to fix it
Create a clear, enforceable AI policy that covers:
•approved tools
•prohibited uses
•data restrictions
•review requirements
And most importantly, enforce it.
The bottom line
AI is not the risk.
Unmanaged AI is.
The companies that get into trouble are not the ones using AI.
They are the ones using it without:
•guardrails
•awareness
•legal structure
What this means for your business right now
If your employees are using AI and you:
•do not know what they are inputting
•do not have a policy
•have not updated your contracts
•are not reviewing outputs
You are exposed.
Not theoretically.
Operationally.
If you are using AI without clear legal controls, you are already behind
Most companies wait until:
•a dispute
•a demand letter
•or litigation
to understand where their risk is.
At that point, the exposure already exists.
George Bellas works with companies to:
•identify where AI is creating liability
•implement policies that actually hold up
•restructure contracts to reduce exposure
If you cannot clearly explain how AI is being used inside your business and what safeguards are in place, that is your first problem.
Contact George Bellas today to assess your risk, implement an AI policy, and protect your business before it shows up in a lawsuit.