A legal-tech SaaS platform specializing in corporate records management for law firms came to Armakuni for aI-powered document processing pipeline: automated ingestion, OCR, LLM-driven data point extraction, and semantic search indexing for legal document onboarding.
The challenge
Armakuni was engaged to validate AI-powered legal document processing before Ingenio committed to a production build. The engagement confirmed technical feasibility, benchmarked LLMs on Bedrock against real legal documents, and delivered a production roadmap alongside the working prototype.
Scale: SaaS platform serving law firms and enterprises managing corporate records, with onboarding workflows that process multi-hundred-page legal document packages per client.
What we built
Armakuni delivered aI-powered document processing pipeline: automated ingestion, OCR, LLM-driven data point extraction, and semantic search indexing for legal document onboarding. The engagement ran as fixed-scope Proof of Value: Intelligent Document Processing POV. AWS funded the work at $13,800.
The outcomes
6 measurable outcomes shipped across the engagement. The ones that moved the business the most:
Manual time per document onboarded reduced to near zero, validated. through the POV processing run across representative legal document types including shareholder agreements and articles of incorporation.
Cost of onboarding a new client no longer scales with headcount.. The pipeline handles document chunking, OCR, extraction, and indexing without a person in the loop, at any volume.
Functional prototype validated against 100 representative legal documents, confirming extraction accuracy, document type classification, and metadata. generation were production-viable before any production investment was committed.
Full production roadmap delivered alongside the prototype, covering the path from POV to production system: architecture decisions, feature. extensions, and production-grade hardening requirements.
Codebase and Terraform scripts delivered and documented, so Ingenio owns the system and can extend or deploy it independently..
AWS PoC funding covered the full $13,800 engagement cost, making the total cost to Ingenio zero, contingent on funding approval..
Built on AWS
The production environment runs on 9 first-party AWS services. Delivered under our AWS Generative AI Services Competency competency.
What's next
Production deployment with integration into Ingenio's existing onboarding platform, production-grade security hardening, multi-region architecture, and expansion of document type coverage beyond the POV scope.