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 A legal-tech SaaS platform specializing in corporate records management for law firms 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. It was 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. It confirmed extraction accuracy, document-type classification, and metadata generation were production-viable before any production investment was committed.
Full production roadmap delivered alongside the prototype. It covers the path from POV to production system, including architecture decisions, feature extensions, and production-grade hardening requirements.
Codebase and Terraform scripts delivered and documented. The platform owns the system outright and can extend or deploy it independently.
AWS PoC funding covered the full $13,800 engagement cost. The total cost to the platform was zero, contingent on funding approval.
Built on AWS
The production environment runs on 9 first-party AWS services. Delivered under our AWS AI Services competency.
What's next
Production deployment with integration into A legal-tech SaaS platform specializing in corporate records management for law firms's existing onboarding platform, production-grade security hardening, multi-region architecture, and expansion of document type coverage beyond the POV scope.