Customer background

Our client is promising legal tech startup that provides AI-based solutions for immigration lawyers. They aim to automate visa application drafting by utilizing sophisticated automation and AI functionalities. With attention to accuracy, efficiency, and compliance, the company equips lawyers with the ability to manage intricate immigration cases with improved accuracy.

Challenges

The need to implement generative AI solutions was born out of a challenge experienced firsthand by an immigration lawyer. It included spending hours upon hours writing visa applications and renewals for every single case. With no templates to follow and each applicant presenting different circumstances, producing compliant legal documents became a time-consuming, repetitive chore.

For small law firms, limited personnel and tight deadlines frequently result in burnout or lost opportunities. They were unable to scale their client base because of manual processes and a lack of automation. The solution was obvious: minimize time spent on repetitive drafting, enhance accuracy, and make legal services scalable—even with limited resources.

The company faced the following hurdles:

Understanding legal terminology for system prompts:

  • Immigration law is characterized by intricate legal jargon and case-specific details. Making sure the AI model produced accurate and legally sound drafts was a major challenge.

Resume analysis and auto-population of forms:

  • Structured and unstructured resume data parsing from different formats (PDF, DOCX, scanned images).
  • Applying OCR to scanned resumes to extract salient information.
  • Making sure to map data accurately for smooth form auto-filling.

Strategy recommendations for applications

  • Utilizing historical case information for AI-based suggestions.
  • Ensuring immigration law compliance while making recommendations.

Solutions

To tackle these challenges, we leveraged Needle, our in-house GenAI framework, and advanced AI techniques.

which enabled us to integrate deep legal expertise with a scalable and adaptable framework. It was not only a matter of automating content—but of generating legally correct, attorney-grade documents that eliminate effort while enhancing accuracy.

Refining AI system prompts with legal expertise

  • Worked with immigration lawyers to fine-tune AI-generated text.
  • Combined legal datasets to enhance prompt accuracy.
  • Utilized prompt engineering methods to guarantee contextually accurate responses.

Advanced resume analysis using OCR and NLP

  • Implemented OCR to retrieve text from scanned documents
  • Used NLP to categorize and extract primary applicant information (work experience, education, visa eligibility).
  • Created a validation mechanism to guarantee extracted data accuracy prior to auto-filling forms.

Voice input and human-AI collaboration

  • Attorneys can dictate case details using voice input, reducing the need to type long and repetitive data.
  • The system supports AI+Human collaboration: the AI model prepares the first draft, then prompts the attorney to review and approve or modify specific sections.
  • This interaction allows fast iteration and ensures that attorney oversight remains central to the process.

AI-driven visa strategy recommendations

  • Trained the AI model using historical immigration cases and legal codes.
  • Created a rule-based system to check AI recommendations against legal standards.
  • Included an interactive review module for lawyers to adjust AI-recommended modifications prior to submission.

Built-in legal compliance and confidentiality standards

  • Drafts follow immigration law compliance, including references to legal precedents and relevant clauses.
  • The platform embeds key regulatory requirements such as attorney-client privilege, data privacy, and document traceability.
  • Role-based access ensures only authorized users can view or edit client-specific information.

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  • Industry

    Legal tech

  • Technologies / Platforms / Frameworks

    Python, Angular, Sonet 3.5 LLM model, NLP, reinforcement learning, prompt engineering, and Needle

  • Benefits

    • Enhanced attorney productivity: Automated document drafting reduces manual workload.
    • Increased efficiency and compliance: Intelligent resume analysis ensures structured and error-free data extraction.
    • Optimized visa strategy: Attorneys gain data-backed insights to refine client strategies.

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