Contract management is changing quickly. Regulation is tighter, deals are more complex and AI has moved from pilot to everyday tool in many legal and procurement teams. Statistics help make the case for change, but only when you know where they come from.
This article used to list sixteen figures. For 2026 we have kept only those with a published source you can check, and dropped the rest. For each one we explain what it means and the step it suggests. Where research is old, we say so, because the direction usually matters more than the exact number.
Volume and complexity are the top challenge
In a World Commerce and Contracting study of contract lifecycle management, 41 percent of organizations named rising contract volume and complexity as a top challenge.
What it means: contracts are getting longer and more varied as business arrangements diversify, and each one tends to add review cycles and approval steps. Teams end up handling fewer contracts well, which limits growth.
What to do: standardize the inputs. Templates and an approved contract clause library let most contracts start compliant, and one shared platform keeps every stakeholder working from the same version. AI review then spots vague or non-standard language quickly, so people focus on the clauses that really differ.
Poor contract management erodes value
Deloitte's report on the return on investment of contracting excellence puts the average erosion of contract value from poor contract management at 8.6 percent.
What it means: value leaks through missed obligations, unclear clauses, unclaimed service credits and prices that drift above what was agreed. The loss is spread across many small gaps, so it rarely shows up as one line in the accounts.
What to do: treat signature as the start. Extract each obligation into a list with an owner and due date, track milestones and compare invoices against contract terms. See service credit recovery and invoice to contract compliance.
Most organizations plan to automate contracting
According to World Commerce and Contracting research, 81 percent of organizations are looking for ways to automate their contracting.
What it means: teams know that routine administration is keeping skilled people from negotiation and relationships. Budget for contract technology is increasingly expected rather than exceptional.
What to do: audit your current workflow before buying anything. List the tasks that follow clear rules, such as drafting from templates, routing approvals and sending reminders, and automate those first. Then build the business case from your own figures: time per contract, missed renewals and value lost after signature. Our guide to contract automation explains where to start.
Many organizations have not yet adopted AI in contracting
World Commerce and Contracting's report AI in contracting: an untapped revolution found that 61 percent of organizations had not yet adopted AI in their contracting.
What it means: adoption was still early when the research was done, held back by concerns about security and privacy, unclear priorities and uncertainty about returns. That leaves an advantage for teams that adopt carefully.
What to do: start with a contained pilot on a repetitive task such as extracting dates and clauses from signed contracts. Check the vendor's security certifications and written terms on how your data is used. Insist that a person approves every AI result, and measure the time saved against your own baseline before widening the scope. Read AI in contract lifecycle management without the hype.
AI will support much of procurement contract work
Gartner predicted in 2024 that half of procurement contract management will be AI enabled by 2027.
What it means: supplier risk assessment, finding favorable terms, checking compliance and analyzing spend are all candidates for AI support. The work that remains with people shifts toward judgment, negotiation and relationships.
What to do: connect sourcing and contracting so AI has the full picture. When the request for proposal, the award and the contract live in one workflow, AI can compare what a supplier bid with what it signed and what it invoices. See source to contract.
What do these figures add up to?
- Contracts are becoming more complex and more central to how companies manage revenue, cost and risk.
- Routine administration still consumes skilled people's time, which is why automation is near the top of most agendas.
- Value is lost after signature as much as before it, through obligations and terms nobody tracks.
- AI adoption is real but uneven, and security and governance decide how fast it spreads.
None of these figures will describe your organization exactly. Use them to start the conversation, then replace them with your own numbers as soon as you can measure them.
How does Aavenir help?
Aavenir Contractflow handles authoring, review, approval and signature, Obligationflow tracks what each contract commits both sides to, and RFPflow connects sourcing to the contract that follows. Aavenir AI reads and reviews contracts across all of them, and a person approves every AI action. Everything runs natively on ServiceNow or standalone, with SOC 2 Type II and ISO 27001:2022 certification.
The bottom line
The research points one way: contracts are harder to manage, value leaks when they are left alone, and automation with AI is becoming standard. Use sourced figures to make the case, then measure your own baseline and let your results guide the next step.