Dharma-AI | Sovereign Judicial Transcription SSLM on AWS

🛡️ Dharma-AI | Sovereign Judicial Transcription SSLM on AWS is purpose-built for justice systems and regulated legal environments that require secure, auditable, and confidential transcription of court sessions. The solution leverages a domain-specialized Small Language Model trained for judicial vocabulary, procedural dialogue, and legal semantics — delivering accurate, structured, and searchable transcripts without exposing sensitive audio or text data to external environments.

🏛️ Fully deployed within the customer’s AWS-managed infrastructure, the platform guarantees complete data residency, operational independence, and governance alignment. Components can be provisioned through secure AWS CloudFormation templates or customized architectures validated under the AWS Well-Architected Framework, enabling compliance with strict judicial and governmental security standards.

🔒 The architecture integrates AWS native services such as Amazon Transcribe (speech recognition), Amazon S3 (secure evidence storage), AWS Lambda (processing orchestration), Amazon Bedrock or containerized inference for SSLM execution, and AWS KMS (encryption key management). This ensures end-to-end protection, controlled access, and scalability aligned with ISO 27001, LGPD, GDPR, and judiciary-specific compliance requirements.

⚙️ Beyond transcription, Dharma-AI’s SSLM enables speaker attribution, procedural segmentation, semantic indexing, and legal searchability, transforming raw hearings into structured judicial knowledge. Environments remain fully isolated and auditable under the client’s IAM, networking, and logging policies, with optional professional services for secure deployment, monitoring, and lifecycle governance.