A Strategic Guide to Choosing and Deploying CLM Software

Successful CLM implementation depends on more than selecting the right platform. Organizations must establish clear ownership, understand existing contract processes, define measurable outcomes, and plan for adoption from the outset. The four steps below provide a practical framework for selecting and deploying CLM software that improves efficiency, reduces risk, and delivers lasting business value. Picture a global procurement team waiting weeks for one approval while renewal dates sit in scattered inboxes. That delay costs more than time. It can affect revenue, risk, and trust.

TL;DR

• Bring legal, procurement, finance, sales, IT, and business users into the decision early.

• Additionally, map current contract work before selecting features, workflows, or migration priorities.

• Set measurable goals for speed, risk, adoption, data quality, and post-signature performance.

• Use a phased rollout with clear owners, training, feedback, and visible early wins.

• Choose software that supports drafting, review, approvals, storage, obligations, and reporting.

• Treat CLM as an operating model change, not only a technology purchase.

Prepare the Organization for CLM

A CLM platform affects many teams. Additionally, legal may own standards, but legal rarely owns every contract activity. Sales may request agreements, procurement may negotiate suppliers, and finance may track payment terms. IT may manage integrations, access, and security.

That shared ownership makes preparation essential. A platform can automate a poor process as easily as a good one. It can also expose disagreements that teams avoided when work happened through email and spreadsheets.

Use the steps below before you commit to a product or launch a major rollout.

Build a cross-functional selection team

Start with a small group that can make decisions. Include people who work with contracts each week. Also include leaders who can remove barriers and approve changes.

Your core group should usually include:

• A legal operations or legal department lead

• A procurement or sourcing representative

• A sales operations or commercial representative

• A finance or revenue operations representative

• An IT or enterprise applications lead

• An information security or privacy advisor

• A records, compliance, or risk representative

• A business sponsor with budget authority

Do not invite every possible stakeholder to every meeting. Too many voices can slow decisions. Instead, create a core team and a wider review group.

Moreover, the core team should define needs, rank use cases, and guide the selection. The review group should test workflows, review security needs, and provide feedback. This structure keeps the process open without making every decision collective.

Give each member a clear role. One person should own the business case. Another should own process design. Someone should own data migration. A senior sponsor should resolve conflicts between departments.

Set decision rules at the start. For example, legal may decide clause standards, while IT may decide security controls. Finance may approve data requirements for payment terms. The sponsor may make the final call when teams cannot agree.

Ask each member to describe work from their team’s point of view. Questions should include:

1. Which contract tasks take the most time?

2. Where do requests arrive today?

3. Which approvals create the most delay?

4. Which data must teams find after signature?

5. Which risks cause the greatest concern?

6. What would make users reject the new process?

These answers will reveal different definitions of success. A lawyer may want better clause control. A sales leader may want faster turnaround. A finance manager may want reliable renewal and payment data.

The team should also identify user groups. Also, a contract requester needs a simple form. A lawyer needs drafting and review tools. An executive needs clear reporting. An administrator needs control over templates, rules, permissions, and audit records.

According to the International Association for Contract and Commercial Management, organizations often lose value through weak contract processes after signing. That finding supports a broad team model. Contract value does not belong to one department.

Create a stakeholder map before vendor demonstrations. List each group, its goals, its concerns, and its decision rights. Then use that map to plan demonstrations around real work.

A generic product tour can hide serious gaps. A better demonstration follows a realistic request. For example, a sales manager submits a request, legal drafts an agreement, finance reviews payment terms, the customer proposes changes, and both parties sign.

Therefore, ask the vendor to show each step. Ask what happens when a user changes a clause, misses an approval, or needs to find a signed agreement. These details often matter more than a long feature list.

Your selection team should also plan for adoption. Choose respected users from each department as local champions. They can test workflows, answer peer questions, and report friction after launch.

Do not choose champions only because they hold senior titles. Choose people who understand daily work and communicate well. A trusted contract coordinator may influence adoption more than a distant executive.

Related Article: Contract Drafting Tips: Create Contracts Effortlessly

Map current contract processes

Map your current process before you design a future one. Start with the full contract lifecycle. Consequently, include the first request, drafting, negotiation, approval, signature, storage, performance, renewal, and closeout.

Do not limit the map to legal work. A contract may begin in a CRM system, move through email, receive finance approval, and end in a shared drive. Each handoff creates a chance for delay or lost information.

Choose three to five common contract types for the first review. These might include sales agreements, supplier contracts, nondisclosure agreements, statements of work, and employment-related documents.

For each contract type, document:

• The person who starts the request

• The information the requester must provide

• The document or template used

• The people who review and approve it

• The systems that store related data

• The points where negotiation occurs

• The signature method

• The location of the final contract

• The post-signature tasks and deadlines

Record the current process as it exists. Do not describe the process people hope to follow. If users email incomplete requests, capture that fact. If lawyers search three folders for a template, record it.

Use simple process maps. As a result, a spreadsheet can work for an early review. Each row can show a task, owner, input, output, system, delay, and risk. This approach makes hidden work visible.

Look for common problems:

• Requests arrive without key commercial details.

• Teams use several versions of the same template.

• Approvals depend on personal knowledge.

• Negotiation history stays in private email threads.

• Signed contracts lack useful metadata.

• Renewal dates sit with one employee.

• Business users cannot find obligations.

• Reports depend on manual data collection.

Next, separate the process from the policy. A policy may require finance approval for certain payment terms. The current process may still depend on a lawyer remembering to ask finance.

This distinction helps you design useful controls. The goal is not to add more steps. The goal is to make required steps clear, timely, and traceable.

Map data flows as well. Identify where teams create, change, and store contract data. Then mark which data needs integration.

For example, a CRM may hold customer names and deal values. An enterprise resource planning system may hold supplier records and payment data. A CLM platform may manage documents, clauses, approvals, signatures, and obligations.

Avoid moving every data point into every system. Subsequently, choose a clear system of record for each field. This reduces duplicate entry and conflicting information.

Also assess your legacy contract collection. Estimate the number of agreements, file types, languages, and storage locations. Identify contracts that lack signatures, dates, or searchable text.

Do not promise to clean every legacy contract before launch. That goal can delay the project for months. Instead, rank documents by business value and risk.

A practical migration order may look like this:

1. Active agreements with upcoming renewals

2. High-value customer and supplier contracts

3. Agreements with major compliance duties

4. Documents needed for audits or disputes

5. Low-risk historical records

Use sampling to estimate data quality. Review a small set from each source location. Note missing pages, unclear dates, duplicate files, and poor scans. This sample will help you set a realistic migration plan.

The National Archives and Records Administration offers guidance on managing electronic records. Then, its principles can help teams define retention, access, and disposition rules. Those rules should influence both process design and software selection.

Map exceptions, not only the standard path. Ask what happens when a deal needs urgent approval, a supplier rejects the standard form, or a business unit follows local rules. Exception handling often determines whether users trust the platform.

End this phase with a future-state design. Keep it simple. Define the standard path, the accepted exceptions, the required data, and the owner for each step.

Related Article: Best Practices For Contract Obligation Tracking

Define goals and useful KPIs

A CLM project needs goals that leaders can understand and teams can measure. “Improve contract management” does not provide enough direction. Set a baseline first, then define a target.

Finally, use a mix of speed, quality, risk, adoption, and business measures. A narrow focus on cycle time can create poor outcomes. Teams may rush contracts while increasing errors or policy exceptions.

Useful measures include:

• Time from request to first draft

• Time from first draft to approval

• Time from approval to signature

• Percentage of requests using approved templates

• Percentage of contracts with complete metadata

• Number of manual approval handoffs

• Number of contract types in active use

• Rate of standard clause use

• Number of missed renewal notices

• User adoption by department

• Search time for a signed contract

• Percentage of obligations with assigned owners

• Number of contracts migrated and validated

Define each metric in plain language. “Cycle time” can mean different things to different teams. State the start event, end event, excluded cases, and data source.

For example, request-to-signature time could start when a complete request enters the intake portal. It could end when every required party signs. You might exclude requests that wait for customer information.

Set targets that match your starting point. A team with email-based work may need an adoption target before it sets an aggressive speed target. A team with strong automation may focus more on risk or post-signature performance.

Use a simple KPI plan:

Do not invent a baseline. If the business cannot measure current performance, make measurement part of the first project phase.

Tie every KPI to a business outcome. Faster approvals may help sales recognize revenue sooner. Complete obligation data may reduce missed notices. Better template use may reduce review effort and policy exceptions.

The Association of Corporate Counsel provides practical guidance for legal department performance and operations. Its resources support the use of measures that connect legal work with business results.

Review KPIs at several levels. Executives need a short view of value and risk. Process owners need workflow detail. For instance, users need feedback that helps them complete work correctly.

Avoid measuring only activity. A high number of completed contracts does not prove process quality. Pair volume with accuracy, risk, and user experience.

Set a review schedule before launch. A weekly review may help during a pilot. Monthly reviews may fit a wider rollout. Quarterly reviews can track long-term value.

Use dashboards carefully. Too many measures can hide the few that matter. Start with a focused set, then add measures when users can act on them.

Specifically, include data governance goals. A CLM system becomes more useful when fields stay accurate. Assign owners for templates, clauses, metadata, access rules, and retention policies.

Plan for changing goals as well. Business priorities may shift after launch. A new region may need local approval rules. A merger may add contract records and new entities. Your KPI model should allow updates without losing historical context.

Set expectations for rollout and adoption

A CLM rollout changes habits. Users may need to stop sending requests through email. Lawyers may need to approve a shared clause library. Additionally, managers may need to complete tasks in a workflow instead of relying on reminders from colleagues.

Treat that change as part of the project. Do not leave training until the week before launch. Users need time to understand why the process changes and how the new steps help them.

Build the rollout in stages. A common sequence includes:

1. Design and data assessment

2. Configuration of a narrow pilot

3. Testing with real contract examples

4. Training for pilot users

5. Pilot launch and feedback

6. Refinement of workflows and content

7. Expansion to the next user group

8. Review of results and support needs

Choose a pilot with enough activity to produce evidence. A tiny group may not expose real exceptions. A company-wide launch may create too much risk. Select one contract type, business unit, or region with clear owners.

Use real documents during testing. Test standard requests, incomplete requests, urgent requests, complex approvals, redlines, signatures, and renewals. Moreover, synthetic examples often make a process look easier than it is.

Create acceptance criteria before testing. For example, a pilot may need to show that users can submit complete requests, lawyers can find approved clauses, approvers receive notices, and signed contracts receive required metadata.

Set expectations about migration. Some legacy files may need manual review. Optical character recognition can make scanned documents searchable, but it does not guarantee perfect extraction. High-risk records should receive human validation.

Set expectations about AI as well. AI tools can identify language, summarize terms, and suggest review points. They still need defined rules, trusted data, and human judgment for important decisions.

The National Institute of Standards and Technology AI Risk Management Framework recommends clear practices for managing AI risks. Use that guidance when reviewing AI features, access controls, audit logs, and human review.

Communicate in practical terms. Furthermore, tell users what will change, what will stay the same, and where they can get help. Explain the reason for each required field or approval.

Share progress through short updates. Show completed workflows, test results, and lessons from the pilot. Avoid broad claims that the platform will solve every contract problem at once.

Celebrate useful wins. A team may reduce time spent finding signed contracts. Another may gain reliable renewal reminders. Small results can build trust when they connect to daily work.

Create a support plan for the first ninety days. Include office hours, quick guides, named contacts, and a process for logging issues. Review support questions for patterns. Repeated questions may signal a poor form, unclear rule, or missing training.

Track adoption by action, not login. A user who signs in once has not adopted the process. Measure completed requests, approved templates, assigned obligations, and searches for needed documents.

Keep ownership after launch. A platform needs regular review of templates, clause versions, workflows, permissions, and reports. Without ongoing ownership, users may create workarounds and weaken the process.

A phased plan also protects the business case. Each stage can show evidence before the next investment. Leaders can adjust scope based on results, rather than relying on assumptions made during selection.

Related articles: How much are you losing without a CLM platform?

How CLM Software Solves This

Contract management software can connect intake, drafting, negotiation, approval, signature, storage, and post-signature work. Additionally, it gives teams one controlled place for documents, metadata, tasks, and deadlines. It also creates data that leaders can use to manage performance.

The right platform should support approved templates, clause libraries, request forms, automated routing, version control, e-signature connections, search, alerts, and dashboards. AI can help draft agreements, review unusual language, summarize terms, and extract key data from older contracts. Teams should still apply human judgment to legal and commercial decisions.

Volody supports these needs through AI drafting, AI review, clause recommendations, metadata extraction, obligation tracking, workflow automation, bulk import, OCR, and configurable controls. Its Word integration helps lawyers work in a familiar tool, while permissions and audit trails support governance.

Build a more efficient, controlled contract operation with Volody's CLM Software. Explore the platform and take the next step toward faster, more reliable contract management.

FAQ

How long does a CLM rollout usually take?

Additionally, the timeline depends on scope, data quality, integrations, and decision speed. A focused pilot may take a few months, while a global rollout can take much longer. Define a narrow first release before setting a final schedule.

Who should own a CLM project?

A senior business sponsor should own the outcome and remove barriers. Legal operations often leads daily design, but IT, procurement, finance, sales, and security must share responsibility. Assign clear owners for process, data, technology, and adoption.

Should a company migrate every old contract?

No. Start with active, high-value, high-risk, or frequently used agreements. Review a sample of legacy files first. Then create migration groups based on business value, data quality, and upcoming deadlines.

What contract processes should a company automate first?

Moreover, start with processes that have steady volume, clear rules, and visible delays. Common examples include nondisclosure agreements, standard sales contracts, supplier agreements, and renewal tracking. Avoid starting with a rare process that has many exceptions.

Which CLM metrics matter most?

Start with request-to-signature time, adoption, template use, metadata quality, approval delays, and missed obligations. Add measures that connect contract work to revenue, cost, compliance, or risk. Define each metric so teams calculate it the same way.

How should teams prepare users for a new CLM platform?

Explain the reason for the change before training begins. Show users how the new process affects their work. Provide role-based training, simple guides, office hours, and fast support during the first weeks.

Furthermore, can AI review contracts without lawyer oversight?

AI can flag risks, identify missing provisions, summarize terms, and suggest approved language. It should not replace professional judgment for material legal or commercial decisions. Use playbooks, access controls, audit trails, and human review.

How can a company avoid CLM scope creep?

Define the first release around a few contract types and user groups. Record new requests in a later-phase backlog. Expand only after the team measures adoption, process quality, and business value.

What should teams check during a vendor demonstration?

Use real scenarios, not only feature lists. Ask the vendor to show intake, drafting, redlines, approvals, signatures, storage, search, renewal alerts, reporting, permissions, and migration. Also ask how administrators change rules without constant development work.