Building a legal interview with Docassemble starts with mapping the workflow and required output. Create YAML questions, connect answers to conditional logic, add review screens, and generate documents. Test relevant branches, revised answers, document accuracy, privacy, and accessibility before publishing a versioned interview with a maintenance owner.
Introduction:
A client opens a long legal intake form and encounters questions that do not apply to their situation. They skip unfamiliar terms, guess at required answers, and submit information that staff must clarify later.
A guided interview can make that process easier. It asks relevant questions, explains what information is needed, and organizes answers into a useful summary.
For US law firms and legal aid teams, building a legal interview with Docassemble begins with understanding the service process. This tutorial follows a fictional intake workflow that collects client details, asks relevant follow-up questions, and prepares a summary for review. It demonstrates development concepts without applying jurisdiction-specific legal rules.
What Is a Docassemble Legal Interview?
A Docassemble legal interview is an interactive workflow defined through questions, variables, and logic. Answers can shape subsequent questions and populate documents.
YAML describes interview blocks, while Python can support calculations and branching. Docassemble asks questions when it needs the variables those questions define.
For example, housing intake can request housing details while another matter follows a different path. Explore Docassemble use cases to identify a suitable first workflow.
Step 1: Plan Automated Legal Intake Before Coding
Define who completes the interview, which organization receives the output, and what happens afterward. Specify jurisdiction and service scope where relevant.
For this example, the output is an intake summary for staff review. Collecting information does not automatically establish eligibility or acceptance of a matter.
Map each question to an operational need:
Start with essential information. Review supported industries when considering how organizational requirements affect the interview design.
Step 2: Prepare Your Docassemble Tutorial Environment
Use a development instance with appropriate permissions. Keep real client information out of experimental interviews.
Open the Playground, create legal_intake.yml, and use its save-and-run tools to inspect changes. The Playground provides development facilities for interview files and related assets.
Keep production separate. Before collecting genuine information, establish access controls, retention arrangements, and a supported hosting configuration.
Step 3: Write Your First Docassemble YAML Interview
Connect a Question to a Required Screen
Paste this minimal example into the interview file:
---
question: What is your name?
fields:
- Full name: client_name
---
mandatory: True
question: Your intake has started
subquestion: |
Thank you, ${ client_name }.
This demonstration collects information for review.
buttons:
- Exit: exit
The first block defines client_name. The required screen references that variable, prompting Docassemble to ask the name question before displaying it.
Understand the YAML Structure
question supplies the heading, fields collects answers, and subquestion adds explanatory text. Separate blocks with — and preserve indentation.
Do not assume question order follows file order. Design the required outcome and dependencies deliberately. Extend this demonstration before using it as a complete intake workflow.
Step 4: Make Guided Legal Forms Easy to Answer
Choose field types that match the information: text for names, dates for relevant events, and choices for defined categories.
Use plain wording. “What happened?” is easier to understand than an internal case classification label. Explain unfamiliar terms next to the question.
Validate meaningful constraints, including required contact information where appropriate. Permit uncertainty when the workflow allows it. Requiring an exact date from someone who cannot remember may produce inaccurate data.
Step 5: Add Conditional Docassemble Interview Logic
Ask Follow-Up Questions When Needed
Add questions defining matter_type, housing_details, and other_details. The category can use the stored choices Housing and Other.
Then use a code block to derive a summary:
When a required screen or document needs matter_summary, the engine can seek the missing inputs.This snippet depends on the corresponding questions and is an extension, not a standalone interview.
Provide a Useful Fallback
Explain what happens for unsupported requests or incomplete information. A staff-review path may be more appropriate than forcing the user into an inaccurate category.
Have the responsible legal team approve any rules involving legal eligibility, deadlines, or document selection.
Step 6: Add Review to Your Docassemble Legal Interview
Give users a chance to inspect and edit important answers before producing the final output. Include names, matter category, descriptions, and relevant dates.
Use Docassemble’s review and editing facilities, then test the effect of changing earlier answers.
If someone changes the category from Housing to Other, the output should reflect the new branch. Previously collected housing information should not appear merely because it remains in session data.
Also verify derived values and regenerated documents.
Step 7: Generate Documents for Legal Document Automation
Connect a DOCX Template
Prepare a Word template with variables such as {{ client_name }} and {{ matter_summary }}. Upload it to the Playground’s Templates area as intake_summary.docx.
After gathering and reviewing the necessary answers, a completion screen can reference it:
Integrate this with the intended workflow rather than retaining the earlier demonstration exit screen unchanged.
Inspect the Generated Output
Docassemble supports template-based document assembly, including DOCX and PDF workflows. Check the formats your implementation requires.
Inspect long names, missing optional values, conditional sections, page breaks, and document headings. A downloadable file can still contain incorrect information or poor formatting.
Step 8: Test Docassemble Interview Development Thoroughly
Use fictional scenarios that exercise each relevant branch.
Developers verify behavior, legal reviewers approve rules and wording, and representative users assess comprehension. Keep those responsibilities visible in the release process.
Step 9: Review Privacy and Accessibility for Guided Legal Forms
Define who can access sessions and generated documents, how long information is retained, and how outputs reach the intended recipient.
Test keyboard navigation, screen-reader behavior, mobile layouts, and error messages. Include language support appropriate to the audience.
Tell users what completion means. Downloading a summary and submitting a request are different actions. If staff must receive the intake, implement and test that delivery workflow explicitly.
Step 10: Publish and Maintain the Docassemble Interview
Package a tested interview for installation rather than treating Playground development as the production deployment.
Version questions, logic, templates, and dependencies together. Assign ownership for technical support and legal updates. Test changes before release.
Explore Docassemble solutions when planning additional workflows after the first version is dependable.
Design takeaway: “A useful legal interview asks understandable questions, produces an accurate result, and makes the next step clear.”
The Overlooked Risk in Legal Document Automation: Outdated Rules
Correct code can keep producing an outdated workflow. Forms, organizational requirements, or approved instructions may change after launch.
Record which interview and template versions produced an output. Decide how updates affect people resuming older sessions. A changed release should trigger scenario testing and review of affected documents.
Maintenance belongs in the initial scope. Otherwise, a technically working interview can quietly become less useful over time.
Building a Legal Interview With Docassemble: Quick Checklist
Building a legal interview with Docassemble involves defining the workflow, creating YAML questions, connecting variables to conditional logic, adding answer review, and assembling the required document. Before publishing, verify technical behavior, legally approved content, privacy, accessibility, and output accuracy. Release a versioned package with clear maintenance ownership.
Start Building Your Docassemble Legal Interview
Choose one focused workflow, map its requirements, and validate a small first version. Expand after its questions and outputs work consistently.
Explore Docassemble development services for interview design, templates, testing, and deployment support.
Frequently Asked Questions About Docassemble Interview Development
Do I need coding experience to build a Docassemble interview?
You need to learn YAML, variables, and interview logic. More complex workflows may require Python knowledge and development support.
Can Docassemble generate Word and PDF documents?
Yes. It supports document assembly with templates, including DOCX and PDF workflows. Verify the required output and its formatting.[4]
How does Docassemble choose the next question?
It seeks variables required by the interview’s logic or output. File position alone does not determine question order.[1]
How should I test conditional legal questions?
Use scenarios covering each branch, unknown answers, corrections, unsupported requests, and generated documents. Include legal review and user testing.
What should I check before publishing?
Check scope, questions, logic, document accuracy, access controls, accessibility, deployment, and maintenance. Confirm what users must do after completion.
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