We have twenty years of legacy customer agreements and vendor contracts scattered across various systems. How can we use AI tools on our exit runway to audit these documents for transferability and liabilities before a buyer's legal team finds them?

Question

Tyler Smith · Accepted Answer

Due diligence is where deals go to die, and disorganized legal contracts are a primary culprit. Buyers will scrutinize your agreements for change of control clauses, termination rights, and auto renewal terms. If you have to manually read hundreds of legacy contracts to find these risks, you will waste valuable time and likely miss critical issues.

This is where artificial intelligence becomes a powerful operational tool on your exit runway. You can deploy specialized AI contract analysis tools to ingest your entire contract library. These tools can automatically extract key data points, flag agreements that lack transferability clauses, and identify contracts with unfavorable terms or pending expiration dates.

By using AI to audit your documents, you can systematically address deficiencies long before you go to market. If the AI flags ten key customer contracts that require consent upon a change of control, you can work to renegotiate those terms during your normal renewal cycles.

This proactive approach does two things. First, it prevents embarrassing surprises during formal due diligence that could lead to a recontracting of the deal. Second, it demonstrates to the buyer that your operations are modernized and tech enabled. When you present an organized, AI audited data room, you signal to the buyer that you run a tight ship, which builds confidence and protects your valuation.