Crivella.ai is the operating name of Tera Alta Risk, Inc. — an AI implementation and process reengineering firm serving companies and law firms.
Most AI vendors are technologists. They deploy models, build integrations, and hand you a system. What they leave behind is a tool layered on top of processes that were never designed to use it — and results that fade. Most process consultants, meanwhile, don't touch the technology at all. They hand the implementation to someone else and walk away.
Crivella.ai does neither. We bring together deep expertise in process reengineering and proprietary AI technology — and we apply both, together, to every engagement. No handoffs. No gaps between the process work and the technology work. One firm, accountable for both.
We have applied this combination in over 80 multi-district litigations involving hundreds of thousands of individual claimants — in some of the most demanding operational environments in the country. That is the foundation. The same rigor, applied to your organization.
The result is AI that becomes part of how your organization operates — producing durable improvements in cost, quality, and productivity that hold over time.
Our Services →Artificial intelligence doesn't transform organizations on its own. It amplifies what's already there. That's why the process work has to come first — and why we treat it as inseparable from the technology.
Every engagement begins with a rigorous assessment of how work actually gets done — the workflows, decision points, data flows, and risk areas that AI will touch.
We redesign processes and roles around what AI makes possible — not just grafting new technology onto old ways of working. The people side of the change matters as much as the technical side.
We exercise great care over data and the decisions AI influences. Governance, oversight, and risk controls are built into every solution — not added later when something goes wrong.
In high-stakes environments — law firms, financial services, healthcare, and complex enterprise operations — AI that isn't properly governed isn't just ineffective. It creates liability, erodes trust, and can cause serious harm.
The organizations we work with can't afford to treat AI as an experiment. They need solutions that are rigorous, defensible, and designed to hold up under real-world pressure.
That's the standard we hold ourselves to — and the standard we build into everything we deliver.
"AI layered on top of broken processes produces broken results — just faster."
Crivella.ai
Our focus
✓ Companies undergoing AI-driven operational change
✓ Law firms applying AI to legal workflows
✓ Organizations where data governance isn't optional
✓ Leaders who want results that last
The Crivella platform does not trace its origins to the current wave of AI enthusiasm. It traces them to two inventions, separated by five years, that together constitute the complete architecture of what the AI industry now calls enterprise knowledge management and retrieval-augmented generation.
The first, invented in 2001, created the knowledge repository: a system combining library science, linguistics, and computer technology to ingest, organize, and make accessible large volumes of documents and data — with multi-level privileged access, advanced search, and a schema purpose-built for multi-district litigation.
The second, invented in 2006, created the content identification engine: a method for analyzing a corpus, applying marker sets to identify relevant content, scoring each document against a reference threshold, and iteratively refining the process until the output is a precisely bounded collection — containing exactly what is relevant to a given task, and nothing that is not. This is what produces context collections. This is what makes the AI outputs accurate.
Both have been refined in the hardest conditions in American law — over 80 multi-district litigations, hundreds of thousands of individual claimants — for more than two decades. The platform that exists today is the product of a quarter century of invention, improvement, and world-class application.
2001
The Knowledge Repository
2006
The Content Identification Engine
The architecture the AI industry calls Retrieval-Augmented Generation — a managed knowledge repository feeding precisely curated context to AI systems — was invented by Arthur Ray Crivella in 2001 and 2006. Before transformers. Before GPT. Before the current AI wave began.
Every concept in today's platform has been tested and improved in real-world implementation since 2001. What the industry is building now, Crivella has been building, applying, and perfecting for a quarter century.
Our core business is litigation — mass tort, MDL, and the application of AI to legal workflows. That is where our platform was built, where our track record was established, and where we continue to do our deepest work.
We are also in the early stages of applying the same platform and methodology to two new domains where the operational challenges are analogous: large volumes of complex documents and data, high-stakes decisions, and processes where AI-driven discipline can produce significant, measurable results.
Large capital projects — construction, infrastructure, energy — are chronically over budget and behind schedule. We are developing applications of the Crivella platform to project controls, risk monitoring, and decision support in capital project environments — bringing the same discipline we applied in mass tort litigation to a domain with analogous complexity.
Manufacturing and operations environments face constant pressure to optimize throughput, minimize downtime, and respond to variability in real time. We are developing AI-powered production scheduling applications built on the same process-reengineering and knowledge-management foundation as our litigation work.
Tell us about your organization and where you want AI to take you. We'll tell you what it actually takes to get there.
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