AI in contracting 2026

From experimentation to impact

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It’s the fourth year that WorldCC has reported on the role and impact of AI within the commercial and contract management process. During that time, we have monitored changing attitudes, a shift from optimism to skepticism, and now, a growing sense of practicality and realism.

These sentiments are mirrored across boardrooms, as AI moves from experimentation to expectation. CEO studies by EY and PwC show senior leaders increasingly viewing AI as central to productivity, resilience, and competitive advantage in an environment of continuing uncertainty - a world defined by volatility, geopolitical disruption, regulatory change, and supply chain fragility.

Yet these same studies reveal an unresolved tension, as this latest WorldCC study directly confirms. While executives are pushing for faster, better decisions, many organizations lack the operating models, data foundations, and governance structures required to deliver them. Indeed, the 2025 WorldCC Benchmark Report found that almost 80% of the organizations surveyed are struggling to develop the adaptability needed to operate effectively in today’s market conditions. Transformation is constrained by execution capability.

Contract and commercial management (CCM) sits at the heart of this challenge and represents a critical insight into the dilemma facing business executives. For many, contract management is seen as a standardized activity, a prime candidate for full automation. On one level, they are right -but this is a story of transformation, not elimination. Contracts govern how organizations commit resources, manage risk, respond to change, and realize value. If AI is to improve decision-making at scale, it must work through a contracting system designed to enable, rather than a compliance model that operates as a bottleneck. Simply moving today’s contract management tasks into AI systems will add to inflexibility and expose process inadequacies. AI represents an opportunity for fresh thinking and value uplift, an opportunity for broad organizational efficiencies. Indeed, if we summarize the findings of this study, we find:

“When respondents are forced to prioritize value, they consistently rank capability, innovation, and productivity above cost reduction or compliance. This suggests organisations see modern contract management as an efficiency tool, but as an enabler of better commercial decisions and strategic capacity.”

Listen to Tim and Bernadette introduce the report’s theme: AI and the future of CCM

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Tim Cummins
Executive Director, CCM Institute

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Bernadette Bulacan
Chief Evangelist, Icertis

This report brings together three perspectives:

  • CEO expectations from global studies,

  • Practitioner experience from WorldCC’s 2026 AI survey across buy-side and sell-side CCM professionals,

  • Operational reality and future aspiration from the WorldCC2025 Global CCM Benchmark and other related studies.

Together, they provide a holistic view of where commercial and contract management capabilities stand today, and how they must change to meet business needs and executive priorities.

From experimentation to impact

As we compare the latest results with previous annual reports, we see that the contracting community has moved beyond initial productivity-focused implementations toward more sophisticated applications that enhance decision-making quality and strategic value delivery.

As the figure ' Practitioners expectations of the benefits of AI'shows, back in 2024, ‘increased productivity ' was the top realized benefit, cited by 44%. The data suggests practitioners now value accuracy and strategic time allocation more highly than pure productivity gains. The latest ranking of user benefits represents a positive endorsement of AI.
 
Looking at how practitioners expect AI to change their daily tasks in contracting, AI expectations haven’t changed and remain focused on automating repetitive tasks (79%) and reducing time spent drafting and reviewing contracts (76%). See the 'Impact of AI on daily tasks in contracting' figure.
 
The areas identified by more than 50% of respondents represent an interesting mix of efficiency and effectiveness. This reflects the expectation that CCM practitioners will generate greater value faster. For example, improved risk identification and greater data analysis imply a more proactive ability to manage and mitigate risks, as well as to identify quality improvements and growth opportunities.

Practitioners expectations of the benefits of AI

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This focus on value is also captured in the primary ways that practitioners are starting to use AI, see the 'Where Generative AI (GenAI) is being used' figure, supporting analytics, generating insights, developing more transactionally-appropriate templates, and starting to explore areas of contract value erosion.

Impact of AI on daily tasks in contracting

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Where Generative AI (GenAI) is being used

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As noted earlier, 49% of respondents believe AI will generate new roles in CCM with a strong consensus that hybrid, higher-value roles will emerge rather than simple task replacement.
 
Anticipated roles cluster around AI governance, compliance and oversight, prompt engineering, contract data intelligence, and human-in-the-loop validation, signalling a shift toward strategically skilled professionals who combine legal, commercial, and technical expertise to manage risk, trust, and value in AI-enabled contracting.

To support this shift, the aspirations for implementation priorities represent a significant change from current implementation patterns. The data reveals that practitioners are looking beyond the basic AI capabilities they’re currently using (such as metadata extraction and clause extraction) toward more strategic, value-driven applications, see the 'Top 5 AI implementation priorities' figure.
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Contract value realization leading the list is particularly noteworthy, as it demonstrates practitioners’ focus on post-execution activities and their desire to use AI to identify areas where contract value may be eroding.
 
This aligns with the broader trend toward measuring the financial performance of contracts and demonstrating ROI from AI investments.

The emphasis on Contract benchmark and Supplier evaluation / selection further reinforces practitioners’ aspirations to use AI for more strategic and better informed decision-making rather than just operational efficiency. These capabilities would enable organizations to make more informed contracting decisions based on comparative data and supplier performance analytics.

While current AI use cases tend to focus on ‘safe space’activities like contract summarization and metadata extraction, practitioners’ aspirations show they’re ready to embrace AI for more complex, strategic functions that require greater confidence in AI outputs.
 
If there was one piece of advice for the adoption and use of AI by the CMM community, what would it be? Our three experts share their thoughts.
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Leandro Doca
Vice President, Head of CCM for Americas Strategic Business Unit, Capgemini

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Carolina Colombo
Contract Negotiator, Senior Manager,
Avaya

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Daniel J. Finkenstadt, PhD
Vice President of Research and Senior Fellow,      CCM Institute

From experimentation to impact

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The CCM community is broadly enthusiastic about AI, with very limited outright negativity. However, enthusiasm is significantly higher at an individual than organizational level, indicating that adoption is being pulled by practitioner experience while institutional governance, integration, and operating model change are constraints.
 
This pattern is consistent across the data. Respondents do not primarily associate AI with cost reduction or headcount elimination. Instead, the perceived benefits centre on increased productivity, innovation, improved decision quality, and the ability to redirect effort toward higher-value, strategic work. At the same time, there is clear recognition that AI will reshape roles, raise skill requirements, and demand new forms of cross-functional collaboration rather than simply automate existing processes.

Taken together, these findings suggest that AI in contract and commercial management has moved beyond experimentation but has not yet reached institutional maturity. Individuals are already finding value in AI-enabled tools, yet organisations are struggling to translate that experience into scalable, governed capability.
 
This gap explains both the high levels of organisational scepticism and the significant proportion of respondents who remain unsure or undecided about AI’s role in their enterprise. The data also highlights a critical risk. Without deliberate action, AI adoption may reinforce fragmentation rather than resolve it, leading to embedded point solutions, inconsistent practices, and unclear accountability. Technology alone does not deliver integration, trust, or better outcomes. Those emerge only when AI is aligned to clear commercial intent, well-defined authority, and coherent operating models.

From webinars to articles and events we have a whole host of resources to help you on your journey to AI excellence.

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AI adoption in contracting 2025

Curious to see how the AI revolution in contracting has progressed? Download the 2025 report, "AI in Adoption in Contracting: Aspiration and excitement tempered by the demands of achieving successful adoption," for key insights and analysis that provide context for the latest 2026 findings.

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