Why Knackly is different

When we set out to build Knackly, we weren’t new to document automation.

Our founders had already spent more than 20 years working in the document automation space—building automated documents, implementing systems, and seeing firsthand what happens when automation moves beyond simple forms and document templates.

That experience shaped one of the most important decisions we made:

Knackly needed to be built for complexity from the beginning.

Not because every document is complex. But because once an organization becomes serious about document automation, complexity has a way of showing up quickly.

Complex documents require more than filling in blanks

At the simplest level, document automation is straightforward.

Ask for a name. Put the name into a document.

Ask for an address. Put the address into the document.

For those types of documents, mail merge and basic template tools can work perfectly well.

But that wasn’t the problem we wanted Knackly to solve.

We had spent years working with documents where the answers collected from a user actually determine what the document should say.

A single answer might determine:

• Which provisions are included
• Which version of a clause is drafted
• How parties are described throughout a document
• Which documents should be created
• How calculations are performed
• How information repeats
• Which additional questions need to be asked

And those decisions can depend on other decisions.

At that point, you aren’t simply merging data into a document.

You’re building a drafting system.

We had seen where traditional approaches became difficult

Twenty years in document automation taught us something important: powerful automation is possible, but it can become extremely difficult to build and maintain.

Complex systems often grow into hundreds—or thousands—of individual variables, rules, calculations, and interconnected templates.

Consider something as simple as a person.

In a traditional approach, you might create separate variables for:

• First name
• Middle name
• Last name
• Address
• City
• State
• ZIP code
• Birth date
• Relationship
• Gender

That works when there’s one person.

But what happens when there are five beneficiaries?

Or when every beneficiary has children?

Or when those children have different distribution instructions?

Or when the same people appear in multiple documents and play different roles?

The problem isn’t that the automation can’t be built.

The problem is making sophisticated automation manageable.

That’s the problem we wanted to approach differently.

We built Knackly around the information, not just the document

One of the foundational decisions behind Knackly was to treat information as structured data rather than simply a collection of fields.

Instead of creating:

Beneficiary1FirstName

Beneficiary1LastName

Beneficiary2FirstName

Beneficiary2LastName

Knackly can understand a Beneficiary as a type of person and a matter can contain a list of those beneficiaries.

Each beneficiary can have their own information, relationships, children, property, percentages, or other data.

That distinction might seem technical, but it changes how complex automation can be built.

The automation begins to reflect the real world.

A matter contains people.

People have relationships.

Companies have members.

Trusts have beneficiaries.

Properties have owners.

Loans have borrowers.

And those things can relate to one another.

We believed the automation system should understand those relationships too.

Build the rule once. Use it everywhere.

Another lesson from our years in document automation was that complexity becomes much harder to manage when the same knowledge has to be recreated repeatedly.

Suppose you have 30 documents that need a client’s full legal name.

We didn’t want automation authors writing the logic for that name 30 different times.

We wanted them to define the underlying information and drafting rules and then reuse them throughout the system.

The same principle applies to much more sophisticated logic.

A calculation can be created once.

A list can be created once.

A person’s information can be collected once.

A drafting rule can be created once.

Then that intelligence can be used across an entire set of documents.

That makes automation easier to build—but perhaps more importantly, easier to maintain.

When a rule changes, you shouldn’t have to hunt through dozens of templates trying to remember everywhere it was used.

Complexity should live in the system, not in the user’s head

There’s another side to complex document automation that is easy to overlook.

The person generating the document shouldn’t necessarily need to understand all of the complexity behind it.

They should be able to answer questions they understand.

Knackly can use those answers to determine what happens next.

That might mean asking additional questions, skipping irrelevant sections, selecting provisions, performing calculations, working with lists of information, or generating an entire set of documents.

The automation author can encode the organization’s knowledge into the system.

The user gets a guided experience.

The complexity still exists. Knackly helps put it in the right place.

We didn’t want advanced automation to require programming

There was one more thing we wanted to change.

Historically, the more sophisticated a document automation project became, the more technical expertise it could require.

We wanted people who understand the documents to be able to build the automation.

That’s why Knackly was designed as a no-code platform.

That doesn’t mean complex automation suddenly becomes simple. A sophisticated estate planning system, loan package, court filing system, or contract suite still requires someone to understand the underlying rules.

But understanding the legal or business rules shouldn’t also require becoming a software developer.

The person who understands the documents should be able to encode that knowledge into the automation.

That’s a fundamental part of Knackly’s philosophy.

Complex doesn’t have to mean complicated

There’s an important distinction between these two words.

The documents themselves may genuinely be complex.

There may be hundreds of possible drafting scenarios. There may be nested relationships, sophisticated calculations, conditional provisions, repeating data, and dozens of interconnected documents.

A document automation platform shouldn’t pretend that complexity doesn’t exist.

Instead, it should give you a better way to manage it.

That’s what we set out to build with Knackly.

After more than two decades in document automation, we knew what sophisticated automation could accomplish. We also knew where building and maintaining those systems could become unnecessarily difficult.

So we didn’t start by asking:

How do we make it easier to fill fields in a document?

We asked a different question:

How do we make it easier to build and maintain the complex document systems organizations actually need?

That question has influenced Knackly from the beginning.

It’s why Knackly has structured objects and nested data.

It’s why lists can be used throughout an automation.

It’s why calculations and conditional drafting can be centralized and reused.

It’s why information can flow across an entire document set.

And it’s why sophisticated automation can be built without traditional programming.

Built for what happens after the first template

For many organizations, document automation starts with one document.

But the real opportunity usually comes later.

One template becomes ten.

Ten become fifty.

Individual documents become coordinated document sets.

Simple questions become interconnected workflows.

And automation stops being about filling in templates and starts becoming a system for capturing and applying the organization’s knowledge.

That’s the level of document automation Knackly was built to handle.

We didn’t build Knackly for complexity because complexity sounds impressive.

We built it because, after 20 years in document automation, we knew that complexity is where the limitations of an automation platform really start to matter.

And we believed there was a better way to handle it, and we work every day to make complexity simpler to implement.