Legal intake forms that qualify clients and collect documents in one step

Build client intake forms, conflict-of-interest checks, consent agreements, and compliance questionnaires with AI. Encrypted, branded, and professionally structured.

Spiceform serves legal professionals with secure, AI-powered form creation for client intake, conflict-of-interest checks, consent agreements, and regulatory compliance questionnaires. All data is encrypted with AES-256-GCM, forms support conditional logic for case-type branching, and file uploads allow document collection directly through the form.

Sound familiar?

1

Paper intake forms are slow, error-prone, and hard to organize

2

Your generic form builder doesn't look professional enough for legal clients

3

You need conditional paths for different case types but can't build them without a developer

How Spiceform solves this

AI Legal Form Generation

Describe your needs — 'client intake form for a family law practice with conditional paths for divorce, custody, and adoption cases' — and AI builds a structured intake form.

Conditional Case-Type Branching

Show different question paths based on case type, jurisdiction, or client category. Only collect information relevant to each matter.

Document Collection

Accept contracts, identification documents, court filings, and supporting evidence directly through the form.

AES-256 Encryption

All client data encrypted at rest and in transit, meeting the security expectations of legal professionals.

Custom Professional Branding

Forms display your firm's logo, colors, and professional styling — not a third-party platform's branding.

Client CRM

Each intake creates a client record in the built-in CRM. Track matters, manage contacts, and maintain client history.

Ideal for

Law firms, solo attorneys, compliance departments, regulatory bodies, notary services, and any legal professional that collects client information and documents through intake forms.

Frequently Asked Questions

Common questions about using Spiceform for this use case.

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