Organisations are rapidly moving beyond experimentation and embedding generative AI directly into contract lifecycle management (CLM) processes. From summarising complex agreements to automating workflows and contract review, vendors are releasing practical capabilities that promise faster turnaround, improved accuracy, and reduced manual effort. Yet not every use case carries the same value or risk. Knowing where AI is mature, and where caution is required, is critical before investing.
The Gartner Quick Answer: Generative AI Use Cases in Contract Life Cycle Management provides a clear, evidence-based view of which GenAI applications are ready today, which are emerging, and how each should be evaluated for benefits and cautions.
Inside this research note, you’ll explore:
- Six primary GenAI use cases reshaping CLM, including agreement summarisation, conversational AI/chatbots, clause and template creation, contract ingestion and clause extraction, precision redlining, and agentic workflows
- Maturity levels for each use case, helping you prioritise low-risk, high-adoption capabilities first
- Practical benefits such as faster reviews, improved visibility, and streamlined administration across legal, procurement, and sales
- Known cautions and risks, including accuracy limitations, training requirements, and the need for human validation
- Guidance on where AI delivers immediate value versus where oversight and phased rollout are essential
Stop guessing where AI fits into your contract process. Download the research to understand exactly which GenAI use cases deliver measurable impact today, and how to adopt them with confidence.
