AI Contracts: A Guide to the Technology Changing CLM

Subscribe to our Newsletter

AI Contracts_A Guide to the Technology Changing CLM_Header Banner

AI tools assist in drafting, reviewing, and analyzing contracts, but the legal enforceability of a contract still depends on meeting jurisdictional requirements such as offer, acceptance, consideration, and mutual intent. Human oversight is still required for execution and legal accountability.

Enterprise-grade CLM systems follow stringent data security protocols, including encryption, access controls, and compliance with regulations like GDPR and SOC 2. Contract data is not used to train public AI models unless explicitly permitted.

Implementation timelines vary depending on factors such as data volume, system integrations, and internal process complexity. On average, AI CLM deployment can range from a few weeks to a few months, including training and customization.

High-volume, template-based contracts like NDAs, MSAs, vendor agreements, and sales contracts benefit greatly from AI automation. That said, AI can also support complex contracts through smart analysis and risk detection features.

Start by assessing current pain points—such as delays in contract cycles, lack of visibility, compliance gaps, or resource strain on legal teams. If these are common issues, AI CLM may deliver measurable ROI quickly.