How We Implemented an AI-Native CLM in Two Weeks—Without Losing Sleep

What a fast CLM implementation taught me about proof-of-concept testing, workflow design, change management and meeting users where they already work. CLM implementations have a reputation for being long, complicated and stressful.

I've been through contract lifecycle management implementations before. They're the kinds of projects I've historically had to mentally prepare for: competing priorities, data migration, stakeholder communications, training, cutover plans and plenty of moving pieces.

This one was different.

The client was moving from a legacy CLM to Chamelio AI, an AI-native CLM. During a two-week implementation period, we migrated approximately 1,600 existing contracts, transitioned open contract requests, launched new AI-assisted workflows, streamlined the NDA process, established automated contract reminders and prepared approximately 100 users across the business for the transition.

And for the first time, I didn't lose sleep over a CLM implementation.

Here's what made the difference.

THE TWO-WEEK IMPLEMENTATION ACTUALLY STARTED SIX WEEKS EARLIER

One of the biggest reasons we could move quickly was that we didn't wait until implementation to start designing the client's future state.

Before selecting Chamelio AI, the client completed an approximately six-week proof of concept.

Instead of treating the POC as an extended product demo, we used it to build.

During the trial, I mapped a core contract workflow designed to handle approximately 95% of the client's contract requests. The Chamelio AI team configured the workflow quickly, allowing us to start putting contracts through it and gathering feedback.

We tested the experience, identified friction and made adjustments.

By the time the client decided to move forward, we weren't beginning implementation with a blank screen. We already had a workflow that had been used, tested and refined.

That became the foundation for the two-week implementation.

For Legal Ops teams evaluating new technology, this may be one of my biggest takeaways: use your POC to build, not just evaluate.

MEET USERS WHERE THEY ALREADY WORK

The client has approximately 100 CLM users across the business. Some work with contracts frequently. Others might interact with Legal only once or twice a year. That creates a common Legal Ops challenge: How do you design a process that's powerful enough for frequent users but simple enough for someone who rarely uses it? For this client, the answer was Slack.

Employees already spend a significant portion of their workday there, so instead of requiring them to learn another destination, the new contract intake process meets them where they already work.

A user can drop a PDF contract into the appropriate Slack channel and invoke the Chamelio AI agent. Within seconds, the contract is ingested and a ticket is created. The AI also performs the initial contract review and first-pass redline before Legal opens the ticket. The legal team can then review the proposed changes, make any necessary adjustments and move the agreement forward.

We've already seen contracts reaching signature more quickly. But one of the most encouraging early indicators wasn't a metric. Users were excited about the process. The idea that they could submit a contract through Slack and then move on with their day immediately resonated with them.

That's an important Legal Ops principle: Whenever possible, don't force the business to adapt to Legal's technology. Design Legal's technology around how the business already works.

SLACK-FIRST DOESN'T MEAN SLACK-ONLY

Of course, not every contract belongs in a shared Slack channel. Some agreements contain confidential or sensitive information.

Rather than complicating the primary workflow for everyone, we created a separate confidential intake process. Users who don't want to submit a contract through the standard Slack channel can send it directly to Legal through a confidential intake form. The goal wasn't to create a different workflow for every possible scenario. It was to build a simple primary process capable of handling the overwhelming majority of requests while creating intentional paths for legitimate exceptions.

MIGRATING 1,600 CONTRACTS WAS THE EASY PART

Data migration is often one of the most intimidating parts of replacing a CLM. We had approximately 1,600 existing contracts to move from the client's legacy platform into Chamelio AI.

It ended up being one of the easiest parts of the implementation. We uploaded the contracts, and the AI extracted and populated the contract information within minutes. The massive manual metadata project I might have expected simply wasn't there. For me, that was one of the biggest surprises of the entire implementation. The part that could have been one of the most stressful became one of the simplest.

DON'T FORGET ABOUT CONTRACTS ALREADY IN FLIGHT

Historical contracts weren't our only migration concern. At cutover, the client also had contracts actively moving through the legacy CLM. We established a clear cutoff date after which users would no longer submit new contract requests through the old system. Anything we could complete there was closed out. But some agreements couldn't be completed before cutover. We created a separate migration workflow specifically for those contracts.

That distinction mattered because those agreements had already been reviewed or redlined. We didn't want to put them through the same workflow as a brand-new contract and trigger an unnecessary new first-pass review. Instead, the in-flight agreements had their own streamlined path into the new system.

It's a relatively small implementation detail, but an important one: Your CLM cutover plan needs to account for historical contracts, new requests and work already in progress.

USE THE IMPLEMENTATION TO FIX PROCESSES—NOT JUST MOVE THEM

Replacing technology also gave us an opportunity to rethink an existing NDA process.

Previously, requesting an NDA involved several systems and manual handoffs.

A business user completed a Google Form with information about the NDA request—such as whether it related to a customer, partner or prospective vendor. The agreement then moved through additional steps for generation and signature.

After execution through DocuSign, the signed agreement ultimately had to be manually uploaded into the CLM.

Every individual step had a reason for existing. But over time, those steps created friction and administrative work.

Instead of simply recreating that process inside the new CLM, we redesigned it.

Users can now initiate the NDA generation process through Slack, creating a much more streamlined, self-service experience with fewer manual handoffs.

That reinforced another principle for me:

Don't use a technology implementation to recreate a fragmented process in a newer system. Use it as an opportunity to question whether that process should exist at all.

MAKE THE CLM USEFUL AFTER SIGNATURE

We also wanted the system to provide value beyond contract intake and signature.

Many employees across the organization are responsible for multiple contracts.

We created contract collections that allow users to see the agreements they're responsible for in one place.

We then configured automated reminders based on the cadence appropriate for those users. For example, a contract owner can receive a periodic summary identifying agreements approaching renewal or expiration within a specified timeframe.

That means the system can proactively surface upcoming contractual events rather than relying on Legal to manually track every date or expecting individual business owners to remember them.

A modern CLM shouldn't simply be where executed contracts go to live.

It should help the business actively manage them.

THE HARDEST PART WASN'T THE TECHNOLOGY

Interestingly, the most challenging part of the implementation wasn't migrating 1,600 contracts.

It wasn't configuring the primary workflow, either.

It was coordinating everything around the technology.

We needed a stakeholder communication plan. We needed a clear cutoff date. We needed to transition outstanding tickets. We needed different paths for new agreements, in-flight contracts and confidential requests.

And we needed approximately 100 users—with dramatically different levels of familiarity with the contracting process—to understand what was changing and what they needed to do.

That's where Legal Operations becomes critical.

Technology implementation isn't simply software configuration. It's change management.

KEEP TRAINING PRACTICAL

Our launch communication happened through multiple channels.

We announced the change by email and created a dedicated Slack channel where users could find information and ask questions.

We also held three 30-minute live training sessions and offered office hours for employees who wanted additional help.

But perhaps our best adoption tool was the simplicity of the workflow itself.

For many contract requests, users didn't have to memorize a complicated new process or become experts in a new CLM.

They could go somewhere they already worked every day, submit the contract and get back to work.

Training still mattered. Communication still mattered. Office hours still mattered.

But thoughtful workflow design reduced the burden on all three.

SO, CAN YOU REALLY IMPLEMENT A CLM IN TWO WEEKS?

Yes—but there's an important caveat.

Our two-week implementation didn't truly begin two weeks before launch.

It began during the proof of concept.

We used approximately six weeks of testing to understand the technology, design the core workflow, put real use cases through it and refine the user experience.

That meant the implementation period could focus primarily on execution rather than simultaneously trying to design the future state.

Could every organization replace its CLM in two weeks?

Probably not.

But Legal Ops teams can dramatically improve the speed and experience of an implementation by doing more of the design work before implementation officially begins.

SEVEN LESSONS I'D TAKE INTO MY NEXT CLM IMPLEMENTATION

1. Use the POC to build, not just evaluate. Test workflows you could actually put into production.

2. Design for the 95%. Create a strong primary workflow rather than over-engineering dozens of scenarios before launch.

3. Meet users where they already work. Adoption becomes easier when Legal fits into existing business behavior.

4. Treat cutover as its own workflow. Historical contracts, active matters and new requests may require different transition paths.

5. Don't recreate inefficient processes. Use implementation as an opportunity to simplify how work gets done.

6. Invest in communication and change management. Even intuitive technology needs a thoughtful launch.

7. Think beyond signature. Contract ownership, renewal visibility and proactive reminders are part of effective contract lifecycle management too.

AND, FINALLY: I DIDN'T LOSE SLEEP

This may be my favorite measure of the project's success.

I've been through CLM implementations where I mentally prepared myself for the stress before the project even began.

This time, I didn't.

The implementation still required planning, coordination, stakeholder communication, training and plenty of decisions.

But it didn't feel like an endurance event.

For the first time, I implemented a CLM without losing sleep over it.

And that may be the implementation metric I appreciate most.

BUILDING A MORE MODERN LEGAL DEPARTMENT?

Flow Legal Ops helps legal teams rethink workflows, evaluate and implement legal technology, and identify practical opportunities to incorporate AI into everyday legal operations.

The goal isn't technology for technology's sake.

It's creating a legal department that's easier to operate—and easier for the business to work with.

Flow Legal Ops
Designing the modern legal department.