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Legal OSINT platforms
AI-driven collection, entity resolution, dossier assembly, and citation-grade retrieval for counsel and investigators. Built for indefinite retention, chain-of-custody practices, and operator workflows.
Ellabara Labs
AI systems that see, reason, and execute for high-stakes work.
We design OSINT research platforms for legal teams, multi-agent architectures that stay coherent under load, and private AI infrastructure that keeps sensitive data under your control.
Legal OSINT Evidence-grade research systems
Agent stacks Reliable orchestration in production
Private GPU DGX-class local inference
What we build
Three practice areas, one standard: systems that hold up in production.
We deliver research tools, agent platforms, and infrastructure your team can operate.
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Multi-agent architecture
Parent/child orchestration, durable task graphs, model routing, tool confinement, and review gates. Agents that finish work, hand off cleanly, and leave an audit trail.
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Private AI infrastructure
Local LLM serving on DGX-class hardware, mesh networking, CI/CD for model + app releases, and hardened production hosts. You own the stack and keep control of the data.
Humans in the loop
Automation for routine work. People for the decisions.
Ellabara systems are built for people who run high-stakes work — counsel, analysts, and engineers — with clear handoffs between model output and human decisions.
Human judgment gates
Shared review between counsel and operators, with defined approval points.
Operator consoles
Research and agent interfaces designed for people: clear provenance, review steps, and results you can stand behind.
Owned infrastructure
Infrastructure your own team can monitor, maintain, and release to with confidence.
Why clients choose us
Systems built for scrutiny, not demonstrations.
- Legal teams need research systems that cite their sources, retain evidence, and withstand discovery.
- Prototypes often fail in production. We design for isolation, recovery, and human review from the start.
- Sensitive legal and investigative work often calls for private, self-hosted models rather than cloud-only services.
- We run our own private infrastructure, release pipelines, and research systems end to end.
Engagement shapes
How work usually starts
Discovery sprint (1–2 weeks)
Architecture + threat model + working prototype on your data sample.
Build engagement (4–12 weeks)
Production system with operators, monitoring, docs, and handoff.
Ongoing partnership
Continuing architecture, development, and operations support for complex programs.
Method
From requirements to a running system.
Understand the problem
Sources, constraints, legal requirements, and what success means for the people who will use the system.
Design the system
Data flows, components, model routing, storage, and failure modes, defined before development begins.
Deliver with evidence
Working software, evaluations, audits, and runbooks. Acceptance is based on tested, working software.
Operate and improve
Monitoring, backup, least privilege, and iteration loops that keep improving after launch.
Get started
Tell us what you need to build.
If you need a legal research system, an agent platform, or private AI infrastructure, we can help you plan, build, and run it.