Merger and Acquisition Contracts: A 3-Phase CLM Strategy for Risk, Speed, and Control

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Yes. AI-native CLM platforms can handle contracts across multiple jurisdictions, languages, and legal frameworks. They support compliance with local laws, surface region-specific risk, and allow global teams to collaborate securely in a centralized environment.

Modern CLM systems integrate with CRMs, ERPs, data rooms, and other deal management tools. This allows contract intelligence to flow into valuation models, compliance systems, and post-merger planning tools—creating a more connected and efficient M&A process.

CLM supports the entire M&A lifecycle. Beyond due diligence, it enhances negotiation by surfacing clause-level intelligence and ensures smooth post-merger integration by tracking obligations, managing workflows, and harmonizing contract standards.

Some of the most commonly flagged include change of control (CoC), assignment rights, liability caps, automatic renewals, exclusivity clauses, and termination provisions. AI-based CLM platforms can be trained to identify these quickly across thousands of documents.

Yes, AI-native CLM platforms can significantly reduce legal costs in M&A deals by automating contract review, risk identification, and compliance checks. Instead of relying solely on external counsel or manual sampling, AI extracts and analyzes every clause and metadata field at scale. This reduces the hours required for legal review, minimizes errors, and lowers the risk of costly oversights—all while speeding up decision-making. The result is greater efficiency with fewer billable hours and better deal outcomes.

Preparing contracts before an acquisition involves organizing and auditing the target company’s entire contract portfolio. Key preparation steps include:

  1. Centralizing all active and historical contracts
  2. Identifying high-risk clauses (e.g., change of control, exclusivity, termination)
  3. Validating that contracts are up to date and properly executed
  4. Ensuring key obligations and liabilities are tracked
  5. Mapping contract relationships to vendors, customers, or regulators
  6. Securing sensitive data and managing access

AI-powered CLM tools streamline this process by automatically extracting data, flagging risks, and building a searchable repository—making it easier for acquirers to evaluate deal value and ensure readiness for negotiation.