Organizations are high on AI ambition but low on operational readiness in contract lifecycle management (CLM), according to new research from Conga.
In fact, 95% of respondents report using AI to some degree within their CLM processes and 49% say they are highly confident using AI with minimal oversight, despite only 38% describing their CLM maturity as “integrated.”
“With AI adoption accelerating, many organizations are moving faster in deployment than in discipline,” says Jason Smith, global director, CLM product launch at Conga. “What we’re seeing is not a technology gap, but a readiness gap. AI is exposing weaknesses in process, data quality and governance that CLM programs can no longer ignore.”
Key takeaways:
· Many organizations remain in a phase of experimentation rather than transformation, creating added pressure on legal teams to manage contractual risk, compliance and oversight. Despite this pressure, 67% of professionals surveyed report their company does not have a formal AI policy for use.
- Search and reporting (69%) and risk assessment (68%) are the most common applications.
- Reporting quality (59%) and risk identification (51%) show the greatest improvement.
- 40% of early adopters cite lack of staff training, followed by troubleshooting support gaps (31%) and unclear use cases (27%).
