Document Automation: The interview isn’t dying — retyping is

# What changed The document-assembly questionnaire—sometimes still called an interview—is not disappearing. The change is that answers no longer have to be typed into it by lawyers or paralegals. New autofill functionality reads unstructured documents and inserts the extracted data into the questionnaire fields automatically.

# How autofill works in practice Users can drag and drop source documents—PDFs, emails, Word files, data files, even handwritten notes—onto a questionnaire. The system runs a smart match and inserts extracted answers into the appropriate fields. Each populated field links back to the source document and highlights the exact text used. Fields also show a confidence score and an alert icon when the system detects conflicts or low confidence.

# Where it saves the most time Autofill is especially valuable when data already exists elsewhere and would otherwise be retyped:

• Client instructions received by email or PDF: upload the file instead of manual transcription.

• Renewals and updates: read last year's lease, policy, or agreement and update fields instead of rebuilding.

• Due diligence and corporate work: read company extracts, share registers, or related documents into the target templates.
• Client onboarding: copy identity documents or engagement letters directly into questionnaire fields.

# Accuracy and human oversight Autofill reduces the most common source of error—manual retyping that introduces transposed figures, misspellings, or wrong-line copying—because the original text is moved into the field and kept available for inspection. However, the process is not fully automatic: extracted answers should be checked against the highlighted source. Confidence scores and alert icons help prioritize which fields require close review.

# Usability and learning curve The described autofill workflow is designed to be simple: drag and drop any source document onto the questionnaire. No special formatting or prior mapping is required because the system uses a smart, context-aware match rather than relying only on a matching data file keyed to questionnaire variables. That lowers the barrier to adoption for teams that might resist complex setup.

# Relationship to integrations and ROI Structured integrations—where an existing practice-management system feeds known fields into documents—remain a high-ROI automation. Autofill complements integrations by enabling unstructured sources to populate questionnaires as well. A hybrid approach can deliver both the reliability of integrations and the flexibility of autofill.

# Practical effects on staff work

# Bottom line The questionnaire persists as the mechanism for capturing the details a document assembly process needs. What's changed is how those details are entered: smart autofill reads unstructured sources, links every answer back to its provenance, and surfaces confidence levels so teams can focus review where it matters most. The result is time saved, fewer errors, and a simpler workflow for bringing existing data into templates.