Empowering Corporate Legal Operations with Generative AI
Stella Tech’s legal department implemented a Generative Artificial Intelligence solution to streamline internal legal research and document analysis

Honne is an AWS Advanced Tier Services Partner and Public Sector Partner that supports organizations in their Digital Transformation through Cloud, Data Analytics, and Artificial Intelligence solutions.

With a consultative and results-oriented approach, we help optimize processes, reduce costs, and improve operations across various industries. We hold AWS Competencies in Education, Well-Architected, SMB, and Generative AI, validating our expertise and ability to design and implement projects aligned with AWS best practices and the specific needs of each organization.

ABOUT THE CLIENT

Stella Tech is a technology services company recognized for its focus on innovation and efficiency. With a presence across multiple industries, it offers expertise in cloud computing, cybersecurity, and digital transformation.

Through advanced technology and a consultative approach, Stella Tech helps organizations modernize infrastructure, optimize resources, and strengthen operational continuity. Its commitment to generating value positions it as a trusted partner for companies seeking sustainable growth in a dynamic digital environment.

SUCCESS STORY OVERVIEW

Stella Tech’s legal department implemented a Generative Artificial Intelligence solution to streamline internal legal research and document analysis. By leveraging AI, the team accelerated the identification of legal precedents, regulations, and compliance requirements, achieving greater efficiency and allowing legal staff to focus on strategic advisory tasks that support the company’s rapidly growing financial and technology operations.

STELLA TECH’S CHALLENGE

As a diversified technology group providing financial and software solutions, Stella Tech manages complex legal frameworks across multiple jurisdictions. The legal team frequently needed to research legal facts, precedents, arguments, statutes, and judicial opinions across large collections of digital legal documents.

This manual process was time-consuming, reduced responsiveness, and posed inefficiency risks when aligning company operations with constantly evolving regulatory requirements.

The challenge was to optimize internal legal research workflows to enable faster decision-making, improve compliance, and reduce time spent on repetitive tasks.

PROPOSED SOLUTION / ARCHITECTURE

In collaboration with Honne, Stella Tech implemented a Generative AI-powered research and analysis solution that integrates with digital legal libraries and internal knowledge bases.

The architecture included:

  • Amazon S3: Centralized and secure storage for internal legal documents and reference materials.
  • Amazon Bedrock with Titan Embeddings: Enabled transformation of statutes, case summaries, and compliance documentation into vectorized representations for semantic search.
  • S3 Vectors: Provided scalable indexing and retrieval capabilities, allowing the legal team to quickly find highly relevant documents and precedents.
  • Amazon Nova Foundation Models: Enhanced natural language understanding, enabling precise interpretation of complex legal queries and context-aware recommendations.

Thanks to this solution, Stella Tech’s legal department gained a conversational interface to access legal references in natural language, significantly reducing research time and improving consistency.

The implementation of an artificial intelligence system for legal research at Stella Tech delivered significant improvements in accuracy, efficiency, cost savings, and regulatory compliance.

PROJECT OUTCOMES AND SUCCESS METRICS (Key Results)

Accuracy: The system achieved 92% accuracy across 300 representative queries.

Efficiency: Achieved a 65% reduction in legal research time, decreasing from an average of 8 hours to 2.8 hours per day.

Scalability: Validated to handle 1,000 concurrent queries with an average response time of under 1.2 secondsand no availability errors.

Cost Savings: Achieved a 65% reduction in legal research expenses, equivalent to $2,340,000 MXN annually.

Regulatory Compliance: Reduced the time to detect and adapt to new regulations by 50%, ensuring full traceability for audits.

Document Management: Achieved 100% document availability in a centralized repository (Amazon S3), reducing internal search times by over 70%.

TCO AND IMPROVEMENT ANALYSIS

LESSONS LEARNED

  • Integration with existing workflows: Aligning AI tools with the legal department’s established practices ensured smooth adoption.
  • Pilot testing: A phased rollout allowed refinement of use cases and built confidence among legal staff.
  • Human oversight remains key: AI accelerated research, but final interpretations and decisions relied on experienced legal professionals.
  • Scalability for future use cases: The solution laid the foundation for broader applications, including contract analysis and compliance monitoring.