tyler-smith.com · Questions & Answers

We are using the Step by Step Exit® framework to prepare our business for sale, and our buyers will soon audit our historical client contracts. How do we use AI to audit hundreds of legacy service agreements to identify hidden liability risks or unfavorable termination clauses before we enter the due diligence phase?

Entering the due diligence phase of an exit with unmapped legal liabilities in your legacy contracts can severely damage your valuation or derail the deal entirely. You can use a secure, private AI model to conduct a comprehensive audit of all historical agreements in a fraction of the time a traditional legal team would take.

Begin by gathering all your client contracts, amendments, and service agreements into a single, secure folder. Upload these documents to a secure AI system that guarantees your data will not be used for public training.

Instruct the AI to review each contract against a specific checklist of risk factors. This checklist should include automatic renewal terms, unfavorable termination clauses, unlimited liability provisions, and intellectual property ownership gaps.

The AI will scan hundreds of pages in minutes and generate a structured spreadsheet. This sheet should list each client name, contract date, and any flagged risks, along with direct citations from the agreements.

Once you have this clear data, your leadership team can systematically address the high-risk contracts. You can proactively renegotiate unfavorable terms with key clients or prepare clear explanations for your buyer before they uncover these issues themselves. This proactive step proves to potential buyers that your operations are thoroughly managed and minimizes the risk of last-minute price renegotiations during due diligence.

Category: AI-Powered Operations

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