Why Has Contract Management Software for Legal Departments Become Harder, Even With AI?
Contract management software for legal departments has never been more capable or more necessary. The business is asking legal teams to work faster through agreements that now involve more scrutiny, more data, and more people than before. AI has changed what “fast” looks like, but it has also made the slower parts of contracting harder to defend.
AI has made drafting contracts faster, so the business now expects the work around the draft to happen faster, too. That includes review, approvals, risk decisions, contract data, and obligations.
This is consistent with our 2026 contract management trends report, which found that 70.7% of legal and contract professionals cite shorter turnaround times as their top challenge, and 81% list speeding up contract cycles as their top priority — making speed both the goal and the obstacle.
This blog looks at where that pressure is coming from, what “more complex” really means for legal teams, and how contract management software can help teams move faster without losing visibility, consistency, or control.
Where Is the Speed Pressure Actually Coming From?
Leadership is looking at the part of contracting AI accelerated and asking why everything else still takes so long. AI reduced first-pass drafting and review — the most visible parts of legal work — from hours to minutes, and that measurable change reset expectations across the business. But the draft was never the whole job. Legal still has to decide what the company can accept, route the right approvals, reconcile stakeholder feedback, and preserve the context behind each change.
A December 2025 LegalOn Technologies survey of 452 in-house legal professionals found that legal teams still spend an average of 3.1 hours reviewing a single contract, even as AI adoption accelerates across contract review. Why? Because drafting is only a fraction of where legal teams spend most of their time. Most of the work sits in the surrounding coordination: approvals, stakeholder feedback, obligation tracking, compliance validation, and context spread across disconnected systems.
Our 2026 trends report shows the same disconnect. Legal teams want faster contract cycles, but the process around each agreement still has to carry the work that makes speed sustainable. Contract data has to be surfaced, stakeholders have to align, risk has to be reviewed, and obligations have to be tracked. AI sped up one layer of contracting, but it also made the gaps in the rest of the process easier to see.
What Does "More Complex" Actually Mean for Contract Management Software for Legal Departments?
"More complex deal structures" is a polite term for what 43.1% of legal teams are what 43.1% of legal teams are actually living with: drastically more dependencies. The contracts taking the longest to close aren't just longer or denser. They involve more stakeholders, more jurisdictions with conflicting requirements, and more upstream commitments that have to be reconciled before the deal can move forward.
Common complexities include:
- A multi-entity agreement spanning three subsidiaries and two jurisdictions, each with competing governing law requirements before anyone has touched the language
- A vendor contract that pulls in a data processing addendum, an AI use policy, security questionnaire requirements, and indemnification provisions that procurement and InfoSec interpret differently
- A services agreement amended multiple times, with obligations spread across the original contract and several side letters, leaving no single source of truth
Every added dependency adds another risk of delays, conflicting interpretations, missed obligations, or non-standard terms to slip through review.
To make matters more difficult, regulations like GDPR, CCPA, and emerging AI governance frameworks have moved from policy documents into the contract language itself. Clauses that didn't exist five years ago are now standard in vendor agreements, data processing addenda, and supplier contracts.
The same thing is happening with the contract process itself. The average medium-to-large enterprise now manages contracts across 24 different systems, with more stakeholders involved in review and approval than ever before, each bringing their own interpretation of risk and adding a cycle to the process.
All of this combined puts legal teams in a tug of war between competing priorities. Shorter turnaround times now sit beside rising demands for contract visibility and metrics (44.8%), stakeholder expectations (44.8%), complex deal structures (43.1%), and compliance scrutiny (39.7%). Complexity no longer lives only in the agreement language. It lives in the decisions around the agreement: who approves it, what data it needs to surface, which obligations it creates, and how much risk the business is willing to accept.
The Internal Drag Behind Slow Contracts
It’s 9 a.m. and you’re mid-review on a vendor MSA when procurement pings you about a supplier agreement you worked on three weeks ago. You stop, find the file, rebuild enough context to answer, and send the reply. Then sales asks whether the limitation of liability in a current deal matches what you agreed to with another customer six months ago. You open a second contract, find the clause, compare versions, and confirm. By the time you return to the MSA, 90 minutes are gone.
Most of the delay comes from re-finding legal decisions. A fallback approved last quarter, an exception accepted for one customer, or an obligation buried in an amendment can all shape the next review. When those answers are scattered across old contracts, email threads, and memory, every new agreement starts with a search party.
That slows the current contract and weakens consistency across the next one. The team may approve language that no longer reflects its standard position, miss an obligation that changed the risk profile, or spend time reworking an issue it had already resolved somewhere else.
Michelle R., a contracts professional in industrial manufacturing and engineering, explained the downstream impact of those delays: "There's always something at stake. With our contracts, there could be orders or business relationships pending. Each contract is part of a bigger chain, and the rest of that chain can't move until we do," explains Michelle R., a contracts professional in the industrial manufacturing and engineering industry with over a decade of experience managing high-volume contract portfolios. "Everything is tied to something immediate and everybody wants it now."
What Breaks When Speed Outpaces the Infrastructure
Legal teams cannot safely move faster if they cannot easily see what the company has already agreed to. Every contract depends on prior decisions: which fallback language was approved, where exceptions were made, what obligations still apply, and which terms no longer match current standards.
When that information lives in inboxes, shared drives, or individual memory, faster review does not solve the problem. It makes inconsistent outcomes more likely. Standard language drifts across agreements. Obligations become harder to trace. Teams lose confidence in which terms govern active relationships and where prior exceptions still apply.
Unsurprisingly, 57% of respondents identify missed obligations as a top risk for 2026, while 62% cite unknown exposure in older agreements as a leading concern.
This can lead to problems like:
- Renewals roll over on outdated commercial terms nobody intended to keep
- Different customers receive inconsistent fallback language for the same issue
- Procurement, finance, and legal work from conflicting interpretations of vendor obligations
- Audit trails live across email threads, shared drives, and individual memory instead of a system of record
- Teams cannot quickly determine which agreements contain older language tied to changing regulatory requirements
Legal may set the contract standards and maintain the audit trail, but it's unsustainable for one team to be the sole monitor of every obligation across every active agreement. When legal tries to hold that role alone, compliance becomes a bottleneck.
Every question routes through legal regardless of whether legal has the relevant operational context, and obligations still slip because the teams responsible for fulfilling them have no visibility into what they are accountable for.
The shift that makes compliance sustainable is giving each team direct visibility into the obligations that already fall within their work. Your finance team is already managing payments — they're the natural owner of payment compliance and billing terms. Procurement already manages vendor relationships, so vendor certification status and renewal windows belong with them. Legal's role shifts from chasing every deadline across the portfolio to maintaining oversight and stepping in where legal judgment is actually needed.
For that to work, each team needs to see their obligations without depending on legal to surface them .IntelAgree's customizable dashboards are built around this, for example, so each team sees the obligations relevant to their role. Saige Assist takes it a step further — any team member can ask a question like "show me all vendor agreements expiring this quarter" and get an immediate answer. When procurement can pull that information directly, the request never has to route through legal in the first place.
The result is that compliance stops being something legal has to chase and becomes something each team maintains as part of the work they're already doing.
What Executives Expect From CLM Software
Contracting transformation is increasingly being driven outside the legal department. According to our trends report, executive leadership leads those efforts in 65.5% of organizations, followed by finance (34.5%) and sales and revenue teams (32.8%).
When those teams get involved, they are not only asking whether legal can turn contracts faster. They want to know what the contract portfolio says about the business.
Executives expect CLM software to answer questions like:
- Revenue at risk
- Renewal timelines and churn exposure
- Deviations from standard terms
- Third-party obligations and risk
- Cost of friction across the contracting process
- Counterparty behavior over time
- Missed or untracked obligations
- Exposure to new regulatory requirements
Our research shows that contract cycle time remains the top KPI at 70.7%, but organizations are also prioritizing contract analytics (62.1%) and template standardization adherence (53.4%). Executives are not separating speed from control. They expect faster contracting to produce cleaner data, more consistent terms, and fewer surprises after signature.
As Ryan E., a contracts leader in the medical services industry, explained, “When you have a tool that can analyze contracts at scale, the expectations for the legal department are raised. You need to know which contracts are expiring, which will auto-renew, which have built-in rate increases. You have to be more knowledgeable — it can't just be ‘let me get back to you.’”
How Teams Manage Speed and Complexity at the Same Time
The teams that handle contract volume best are not reviewing every agreement from scratch. They have already decided which fallback positions are acceptable, when approvals are required, where obligations need to be tracked, and what language should stay standard. Teams without that structure lose time re-answering those questions in every review.
The teams that maintain speed at scale typically do four things well:
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Standardize decisions: High-performing teams define fallback positions before negotiation starts and build them directly into templates, clause libraries, and approval workflows. Instead of revisiting the same indemnification or limitation-of-liability positions across agreements, teams apply approved parameters consistently so contracts move forward without repeated review cycles.
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Centralize context: Delays often come from rebuilding context mid-process. Teams lose time tracking down approved language, reconstructing negotiation history, or confirming who accepted a change. Faster teams keep contracts, clauses, obligations, and approvals connected inside the same system so information stays accessible.
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Automate repeatable work: AI helps most when it handles the contract work that is easy to miss and painful to repeat. Teams use it to extract key terms, flag deviations from standard language, compare clauses against approved positions, and identify obligations that need attention after signature. That gives legal a cleaner starting point for review instead of another document to inspect line by line.
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Build consistency into workflow: As contract volume grows, teams cannot rely on people to remember every approval path, fallback position, or reporting requirement. Stronger teams build those rules directly into the workflow, so the contract follows the right path before language driftsContracting transformation is increasingly being driven outside the legal department. According to our trends report, executive leadership leads those efforts in 65.5% of organizations, followed by finance (34.5%) and sales and revenue teams (32.8%).
The teams best equipped for 2026 and beyond will not be the ones pushing every contract through faster by force. They will be the ones building enough structure around the process to keep speed, visibility, and control from working against each other.
Read the 2026 Contract Management Trends Report to see how legal teams are adapting their processes, technology, and operations in response.
Frequently Asked Questions
Question: Why are contract turnaround times getting shorter if contracts are getting more complex?
Turnaround expectations are shrinking because AI has accelerated early-stage tasks like drafting and review. Leadership often benchmarks speed based on those gains without factoring in the coordination, approvals, and compliance work that still requires time. This creates a gap between expected speed and the reality of how contracts move through the business.
Question: What specifically makes complex deal structures harder to execute quickly?
Complex deals introduce more variables, including multiple parties, jurisdictions, regulatory requirements, and internal stakeholders. Each added layer increases the number of dependencies that need to align before a contract can move forward. As a result, the process becomes less linear and more sensitive to delays at any point.
Question: Does moving contracts faster inherently create more legal risk?
Speed on its own doesn’t create risk, but gaps in process do. Without systems to enforce standard language, track obligations, and maintain auditability, issues often surface later during renewals or audits. Sustainable speed depends on having the structure in place to support it.
Question: What data do executives actually want from contract management software for legal departments?
Executives are looking for data that connects contracts to business outcomes, including revenue at risk, renewal timelines, deviations from standard terms, and third-party exposure. They also want visibility into process efficiency and missed obligations. Contracts are increasingly expected to function as a source of real-time business intelligence.
Question: How do I make the business case for upgrading our contract management software for legal departments?
Strong business cases tie contract inefficiencies to measurable outcomes, such as delayed deals, missed renewals, or unmanaged obligations. Quantifying these issues in financial terms is often more effective than focusing on efficiency alone. Many organizations already have executive support for transformation, so the key is showing what the current process is costing the business.
Additional Reading
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Why AI Contract Management Software Adoption Fails (And How to Fix It) — If your team has a CLM in place but it isn't holding up under current pressure, this post diagnoses why implementations stall and what successful teams do differently.
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Contract Lifecycle Management Challenges Start Where Most Platforms Stop — A closer look at the specific pressure points — regulatory, operational, and financial — that most CLM platforms weren't designed to handle and why that gap is widening.
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Why "Good Enough" Contract Management Is No Longer Good Enough — Makes the case for why basic CLM tools are steadily costing enterprise teams more than they realize, and what a platform built for scale actually needs to do.