Caralegal
Caralegal is a B2B SaaS platform built for data privacy management and GDPR compliance
Senior Product Designer · 2025
Caralegal is a B2B SaaS platform built for data privacy management and GDPR compliance
Senior Product Designer · 2025
The Product
Caralegal is a B2B SaaS platform built for data privacy management and GDPR compliance. The kind of work that is legally mandatory, operationally complex, and handled through spreadsheets, legal consultants, and institutional memory.
The platform centralizes everything: processing activity registers, impact assessments, data breach reporting, risk management, and external data transfers, giving compliance officers, legal teams, and DPOs a single source of truth across their entire organization. The product sits at the intersection of regulatory precision and everyday usability.
The platform centralizes everything: processing activity registers, impact assessments, data breach reporting, risk management, and external data transfers, giving compliance officers, legal teams, and DPOs a single source of truth across their entire organization. The product sits at the intersection of regulatory precision and everyday usability.
The Opportunity
Documenting processing activities is one of the most fundamental requirements of GDPR compliance. Every record had to be created manually, field by field, from a blank form. For compliance officers managing hundreds of these entries, the process was relentless - no shortcuts, no bulk creation, no intelligence - simply repetition.
The description field was the worst offender: a free-text area requiring accurate, legally relevant writing for every single entry. By the time the project was scoped, the problem had moved from a UX issue to a revenue issue, and that changed everything.
Research & Discovery
We interviewed 10 users across different roles and company sizes. Findings were mapped across pain points, workflow patterns, AI expectations, and trust concerns.
Goals
1. Use AI to streamline repetitive tasks, such as generating descriptions, documenting legitimate interests, and balancing interests in DPIAs.
2. Provide quick, accurate suggestions that save time while maintaining user control over the content.
3. Integrate AI seamlessly into workflows, reducing the need for external tools like ChatGPT in a separate tab.
2. Provide quick, accurate suggestions that save time while maintaining user control over the content.
3. Integrate AI seamlessly into workflows, reducing the need for external tools like ChatGPT in a separate tab.
Needs
1. Flexibility in AI Suggestions: Users need the ability to refine, regenerate, and apply AI-generated text to ensure relevance and accuracy.
2. Consistency in Functionality: AI features should align with user workflows, such as retaining existing inputs or tailoring suggestions based on context.
3. Time-Saving Automation: AI should handle tedious documentation tasks efficiently, especially for fields like descriptions, interests, and data breach reporting.
2. Consistency in Functionality: AI features should align with user workflows, such as retaining existing inputs or tailoring suggestions based on context.
3. Time-Saving Automation: AI should handle tedious documentation tasks efficiently, especially for fields like descriptions, interests, and data breach reporting.
Expectations
1. AI should complement, not replace, user input—offering helpful suggestions without “hallucinating” or making unwarranted assumptions.
2. The tool should integrate AI suggestions into the interface in an intuitive, easy-to-use manner that feels natural and reliable.
3. The AI tool should evolve based on user feedback, improving its contextual understanding and expanding its usefulness to other fields and workflows.
2. The tool should integrate AI suggestions into the interface in an intuitive, easy-to-use manner that feels natural and reliable.
3. The AI tool should evolve based on user feedback, improving its contextual understanding and expanding its usefulness to other fields and workflows.
The Solution
Processing activities are the most foundational and most time-consuming module in the platform - and the most avoided. Automating them wasn't a feature request. It was the most direct way to deliver on what Caralegal promises its users: significantly less time spent on documentation, applied exactly where the pain was greatest.
AI Pulse puts that promise into practice. Instead of navigating complex fields and writing legally relevant descriptions from scratch, users describe their business context in plain language and let the AI do the work.
