CLM implementation challenges: how to avoid the 6 biggest pitfalls
Reviewed by:
Keith Rabkin
CEO of PandaDoc
CLM implementation challenges: how to avoid the biggest pitfalls
CLM implementation challenges are typically people and process problems. Gartner has predicted that nearly 50% of initial CLM implementations will fall short of expectations, according to research cited by Cimplifi.
Teams purchase CLM software with real business problems like contracts buried in email threads and costly missed renewals. But the technology rarely causes that failure. The culprits are misaligned teams, unprepared data, and poorly executed adoption strategies.
This guide walks through the six pitfalls behind stalled implementations and how long a realistic rollout takes, with a checklist to work through before go-live.
Is CLM difficult to implement?
CLM implementation is a change management project. Most rollouts stall when teams run it like a software install.
Successfully implementing CLM requires getting internal teams aligned on a single contract process, and ensuring that users do not deviate back into old systems. Process misalignment is where most implementations run into trouble.
The sections below cover the most common failure points and how to avoid each one to ensure a smooth CLM rollout.
The 6 most common CLM implementation challenges
Most CLM implementations fail for the same handful of reasons, and almost none of them are technical. The pattern looks like this:
The tool gets configured.
The team gets trained once.
Within 90 days, adoption stalls.
Contracts drift back to email.
The CLM becomes a storage system no one trusts.
Teams are also running into a newer failure point: buying CLM with AI features but not investing in the setup required to make them work. That one gets its own section below.
Data silos and legacy contract migration
Legacy contracts stay scattered when teams launch a CLM without a migration plan.
What the problem looks like
When teams launch a CLM, they usually focus on new contracts without a plan for migrating existing agreements. This means that the CLM never becomes a source of truth because people still have to check the old places to find legacy contracts.
Users lose confidence in the system and route around it instead.
How to prevent it
Legacy contract migration needs its own scope, owner, and budget before go-live. That means assigning ownership, agreeing on metadata standards, and establishing a migration timeline before the first user logs in to the new system.
Where PandaDoc helps
PandaDoc's intelligent contract repository system works directly within the CLM platform to allow businesses to easily migrate legacy contracts from disparate sources. Consolidate contracts from shared drives, inboxes, or anywhere else, to create a centralized system of record wher any user can easily find the information they need.
Stakeholder misalignment across legal, sales, and ops
Rollouts stall when legal, sales, and ops never agree on what the contract process should do.
What the problem looks like
Legal wants tighter controls, sales wants speed and minimal friction, and ops wants visibility and reporting. CLM forces these teams to agree on a shared contract process, and most organizations haven't done so before purchasing the software.
Legal configures the workflow the way they want it. Sales sees this as a bottleneck and starts routing around it, sending contracts directly from email, cc'ing legal after the fact.
How to prevent it
Map the contract process collaboratively before configuring the tool. Who approves what, and at which stage? Get documented sign-off from all stakeholders before anyone opens the admin panel. The configuration should reflect a process your teams have already agreed on.
Where PandaDoc helps
PandaDoc's conditional approval workflow logic lets you route documents to approvers based on the exact process agreed to by all parties before rollout. Workflows can be created based on contract value, document type, or custom variables — configured directly in the template.
Template chaos and inconsistent contract standards
Template chaos starts when every region and deal type gets its own version and no one owns the master.
What the problem looks like
Most organizations arrive at CLM implementation with a sprawl of contract templates. Versions multiply by region and deal type, and few are up to date. Sales reps use whatever version is saved on their desktop, and legal doesn't know which template is current. Every negotiation starts with "which version are we on?"
How to prevent it
Template rationalization must occur before implementation. Audit all existing contract templates, agree on a canonical set for each document type, and retire everything not on that list.
Where PandaDoc helps
PandaDoc's reusable template library, with variable fields and content blocks, means reps always start from an approved, up-to-date version.
See how Foundation Software went from 80 templates across five workspaces to a single template in one centralized workspace by switching to PandaDoc.
Approval bottlenecks that slow deals instead of protecting them
Approvals slow deals when every contract follows the same chain, whatever its value.
What the problem looks like
Many CLM implementations copy existing approval workflows into the new tool as-is. This causes a digital bottleneck that looks exactly like the email chain it replaced.
Every contract routes to the same approvers. A $2,000 renewal takes as long to approve as a $200,000 enterprise deal. Sales loses confidence in the system. They start calling legal directly to expedite, which defeats the purpose of having a workflow.
How to prevent it
Tiered approval logic routes low-risk contracts to a single reviewer, while high-value or non-standard agreements receive a full legal review. That means faster deals on the low end and appropriate scrutiny on the high end.
Where PandaDoc helps
PandaDoc's conditional approval logic lets you set routing rules by contract value or type. Learn how to started with our full guide to building multi-step approval workflows.
Low adoption and teams reverting to email
Adoption drops when the CLM adds steps to the way reps already work.
What the problem looks like
Adoption fails when the tool adds friction to an existing workflow. If it's faster to email a contract than to create it in the CLM, users will email it every time. The most common version of this is that legal adopts the system because they helped configure it, while sales adoption stalls because no one mapped out how contract creation would work within the CRM. Reps end up switching tools and re-entering data they've already captured elsewhere, and soon, they simply stop bothering with the CLM at all.
How to prevent it
The CLM has to live where users already work, which is why CRM integration matters. Set adoption KPIs and review them at 30, 60, and 90 days post-launch. Intervene early when usage drops rather than waiting for the six-month post-mortem.
Where PandaDoc helps
Native Salesforce and HubSpot integrations let sales reps trigger contract creation directly from their CRM, without switching tools or re-entering data. Setting up closed-won notifications in your CRM is one of the fastest ways to prove that adoption works when the tool is embedded in the workflow reps already use.
Underestimating the AI configuration
AI extraction returns bad data when organizations skip the crucial steps of configuration and setting a clear scope.
What the problem looks like
A procurement team enables AI extraction across their entire contract library on day one of the rollout. The AI pulls the wrong date fields on non-standard agreements and misidentifies parties on older PDF formats. The team disables the feature and reverts to manual review.
How to prevent it
Scope AI configuration as a distinct workstream in the implementation plan. Identify the fields to extract and the document types to process. Run a pilot on a narrow, well-structured document set, like standard NDAs or vendor agreements. Review, accept, or edit AI suggestions to confirm accuracy. Build confidence in the output before you expand the scope.
Where PandaDoc helps
PandaDoc's AI data extraction captures key contract details, such as parties, dates, renewal terms, and values, from both new and uploaded documents, turning your contract library into searchable, reportable data without manual entry. The AI Assistant can also help with document Q&A and surfacing contract details during review.
A CLM implementation checklist: what to do before go-live
Each step below closes off one of the failure points outlined above.
Before your team configures a single workflow, work through this list:
Map the contract process before you configure the tool. Never the other way around. You can't build an approval workflow for a process you haven't agreed on.
Identify and align all stakeholders before go-live. Legal, sales, finance, and IT all need to be part of the process design.
Audit and rationalize contract templates before migration. Retire everything that isn't canonical. The CLM won't fix template chaos.
Scope legacy contract migration as a dedicated workstream. Assign an owner, agree on metadata standards, and set a realistic timeline.
Define tiered approval logic before launch. What routes automatically? What needs one reviewer? What needs full legal review? Decide this before anyone touches the admin panel.
Integrate with your CRM before launch. If reps can't trigger contracts from Salesforce or HubSpot on day one, adoption will stall.
Set adoption KPIs and review them at 30, 60, and 90 days. Usage data will tell you where the friction is. Give yourself the window to respond to it.
Once your implementation is live, the next step is running it well. For a guide to ongoing CLM process improvement, see our CLM best practices guide.
Ready to build a contract management process that sticks? Try PandaDoc.
How contract management software can reduce implementation risk
The right contract management software removes several common implementation failure points.
Here's what that looks like with PandaDoc:
Set up templates and approvals without writing code. Configure approval workflows, template libraries, and document routing through the UI.
Reps create contracts from inside the CRM they already use. Contracts are triggered from within Salesforce or HubSpot. Reps don't have to learn new a platform, so deals won't stall.
Legacy contracts become searchable data with AI features. PandaDoc's AI data extraction reads legacy PDFs and automatically pulls structured data — parties, dates, renewal terms, and contract values — into your contract repository, cutting the manual effort of bringing existing agreements under management.
Start with one team and one document type, then expand. Begin with one document type or one team. Prove adoption, build confidence in the AI output, then expand.
Research from Deloitte and World Commerce & Contracting estimates average contract value erosion at 8.6%, with the worst performers above 20%. For more on the CLM vs. CRM question, and where contract management fits in your existing tech stack, see our comparison guide.
See how you can use PandaDoc's CLM software can streamline your team's process. Try PandaDoc today.
Frequently asked questions
CLM implementation is not inherently difficult, but nearly 50% of first-time implementations fail to deliver expected benefits, according to Gartner.
Teams that map their contract process before configuring the tool, align legal and sales before launch, and integrate the CLM with their CRM on day one are far more likely to achieve sustained adoption.
Enterprise CLM implementations at large organizations can take six months or longer, particularly when legacy contract migration and custom integrations are involved. With a platform like PandaDoc, built for no-code setup and CRM-native workflows, teams can create contracts and track approvals in days, not months.
Starting with a single document type or one team and expanding from there is the fastest path to demonstrable ROI.
One of the main reasons CLM implementations fail is stakeholder misalignment. Legal, sales, and ops each want different things from a contract process; speed, control, and visibility rarely coexist without deliberate design.
When teams configure the CLM to reflect one stakeholder's priorities (usually legal), the others route around it. The fix is a cross-functional process map that all teams agree on before anyone touches the tool configuration.
Contract management typically refers to the day-to-day work of creating, sending, signing, and storing contracts. CLM, contract lifecycle management, covers the full lifecycle from pre-signature (templates, approvals, negotiation) through post-signature (obligation tracking, renewals, data extraction). PandaDoc handles both the contract creation and e-signature workflow that most teams start with, and the broader lifecycle management capabilities that legal and ops teams need to manage a growing contract portfolio.
Author
Maggie Brennand
Senior Product Marketing Manager, AI & CLM
Maggie Brennand is the Senior Product Marketing Manager, AI & CLM at PandaDoc, where she helps teams understand how they can use AI to work smarter every day. Away from the office, she’s often found drinking too much coffee and exploring the outdoors with her dog, Pepper.
Reviewed by
Keith Rabkin
CEO of PandaDoc
Keith has been working in technology organizations for the past 15 years and is currently the Chief Executive Officer for PandaDoc. Prior to this, he had roles leading Growth for Adobe's Digital Media business, Gmail, YouTube, and Google Fiber.
