Internal knowledge reuse hub
Surfaces prior work product the moment a similar matter opens.
Knowledge-heavy practices
Private RAG and document review for professional practices
Siththi.ai turns a practice's own history into a searchable operating asset. Past matters, filings, and clinic records become a private retrieval layer, and multi-agent review workflows handle cross-border document checks without exposing client data to public tooling.
Modules
What we ship for professional services
Built for managing partners, solo practitioners, clinic directors.
Local document ingestion app
Batch ingestion of case files and records with structure preserved.
Agent service lines
- Multi-agent cross-border document review workflows
- Private RAG over past cases, filings, and clinic records
- Retention and access policy modelling per practice group
Workflow
How the pipeline runs
Each stage is owned by an agent with one responsibility, so failures are traceable to a single step.
- 01
Ingestion
Documents parsed with structure and citation anchors preserved.
- 02
Hybrid retrieval
Vector similarity combined with keyword matching for precise recall.
- 03
Review agents
Specialist agents check clauses, obligations, and jurisdictional differences.
- 04
Reviewed output
Findings returned with source citations back to the original document.
Compliance
Data handling for this sector
- Client data stays inside your database and region
- Zero-data-retention endpoints, or private self-hosted models on request
- Every answer traceable to its source document
Questions
Professional services questions, answered
What is private RAG?
Retrieval-augmented generation over a knowledge base you control. Documents stay in your database, only the relevant passages are retrieved at query time, and answers cite the source file rather than inventing one.
Does client data train a public model?
No. We use endpoints with zero-data-retention terms, or fully private self-hosted models where your mandate requires it.