Template automation
Turn existing contracts into reusable workflows.
Contract template automation converts an agreement a business already sends into a reusable template whose variable parts fill from structured data. Conovo does it without anyone authoring a template: the business uploads its own DOCX, AI proposes the fields, formulas, repeating tables and conditional clauses, and a human confirms each proposal in the document itself before anything is saved.
No placeholder syntax, no clause library to populate, no migration project. The starting point is the contract as it exists today, formatting and clause numbering intact.
Why authoring fails
The reason in-house template systems stall.
Merge fields move the work onto the wrong person.
The obvious design is a templating engine: let the business rewrite its contract with placeholders, then substitute values. It demos beautifully and it fails in production for one reason. The person who has to mark up a twenty-page legal document is a business user who did not sign up for that, and a document marked up wrongly produces wrong contracts without telling anyone.
- They won’t do it. Template authoring is the step where onboarding dies. Every platform that has built this has watched it happen.
- Placeholders can’t express the hard parts. A deposit that is a third of the fee, a schedule with a variable number of rows, a clause that applies only when there is a security deposit. None of that is substitution.
- Rewriting risks the document. Rebuilding a contract around placeholders means someone re-typed a legal document, and the diff nobody reviewed is now in the agreement your customer signs.
What gets detected
Proposed by AI, confirmed by a human, always.
Everything that varies, including the parts that aren’t values.
The values that change per deal
Parties, amounts, dates, durations, addresses, scope text. Each is typed, so a money field validates as money and a date as a date, and each records the exact offsets it occupies in the document.
Fields computed from other fields
Stored as expressions, evaluated by a decimal-safe evaluator at send time. Describe the calculation in plain English if you prefer. The translation is proposed, and a live preview shows the result before it is confirmed.
Who signs, and in what order
Signing roles are detected from the execution block, named in plain language, and marked sender or counterparty. That ordering becomes the signing sequence at dispatch.
Tables with a variable number of rows
Payment schedules, line items, lists of insureds. The anchored row is cloned once per resolved row with formatting preserved, and a failure is reported per group rather than corrupting the document.
Clauses that only sometimes apply
A section carries a condition rather than a value. False removes its paragraphs from the generated document; true leaves them exactly as written. Conditions are always accepted explicitly, never auto-applied.
Where each value comes from
Fields map to paths in your payload schema, to a standing value the business sets once, or to a question asked at send time. Accepted bindings show the value they resolve from your sample data, so a mis-map is visible when it is made.
Over time
Setup cost falls with each template.
The second template is cheaper than the first.
- Vocabulary is reused. A fresh import is aligned onto the field keys the workspace’s existing templates already use, so the same concept keeps the same name, and a reused key that already has a standing value arrives pre-filled instead of being asked again.
- Revisions align to the template they came from. Uploading an updated contract carries previously confirmed fields across rather than starting over.
- Standing values are set once. Values that are constant for a business, such as its legal name, notice address and standard rates, fill every contract from then on.
- Versions are pinned. Templates are versioned and each contract records the version it was generated from, so changing a template never rewrites history.
Questions
On setup, formats, and what happens later.
Common questions.
What is contract template automation?
Contract template automation converts an existing agreement into a reusable template whose variable parts are filled from structured data. The naive version is merge fields: someone rewrites the document with placeholders and a renderer substitutes values. The useful version starts from the document as it already exists, identifies what varies without anyone rewriting anything, and handles the parts merge fields cannot: arithmetic between fields, tables that repeat per row, and clauses that only apply in some deals.
Do our users have to author templates?
No, and that is the point. Authoring is where in-house template systems fail: business users will not reliably mark up a legal document, and a mismarked one produces wrong contracts silently. Your user uploads the DOCX they have been sending for years. AI proposes what varies, they confirm or correct each proposal in the document itself, and the template exists. There is no placeholder syntax to learn.
How are formulas handled?
As data, evaluated by code. A field can be computed from other fields: a deposit that is a third of the total, a final payment that is the balance after scheduled instalments, a date thirty days after execution. The formula is stored as an expression and evaluated at send time by a decimal-safe evaluator. No model performs arithmetic that appears in a contract, ever. Users who prefer plain English can describe the calculation and have it translated into an expression, which they then confirm against a live preview.
What about tables and clauses that only sometimes apply?
Both are first-class. A repeating group, such as a payment schedule, a line-item table or a list of insureds, is anchored to a real table row in the document, and that row is cloned once per resolved row with formatting preserved. A conditional section carries a condition rather than a value: when it evaluates false the section's paragraphs are removed from the generated document, and when it evaluates true they stay. Conditions are confirmed explicitly by a human; they are never auto-accepted.
Does the generated contract keep the original formatting?
Yes. Generation fills the original DOCX in place rather than rebuilding a document from extracted text, so paragraph styles, clause numbering, tables, headers and typography survive exactly. Each confirmed field stores the precise character offsets it occupies, and if the document has drifted from those anchors the fill reports a failure instead of corrupting the file.
What happens when a business updates its contract?
They upload the new version, and Conovo aligns it against the template they already have, so previously confirmed fields carry across instead of being re-asked. Templates are versioned and each contract pins the version it was generated from, so an agreement signed under last year's wording remains reproducible after the template changes.
Next
Set one up against the sandbox.
Upload a real contract and see what gets detected. Then read how it generates from your data and executes under your brand.