Alinia AI Research Lab
Our researchers and regulatory engineers work as one team: legal experts define what a policy violation looks like, AI researchers turn that judgment into a highly accurate policy model that moderates different types of content and interactions. Our production team further optimizes these models and makes them fast enough to run with minimal latency on customers’ runtime workflows.
Advancing the state of the art in the legal alignment space
Our Applied Research Lab is focused on solving the critical challenges our customers are facing today, and advancing the state of the art in the legal alignment space.
Out-of-distribution robustness
A policy judge that scores well on the data it was trained on tells you very little. We build hard evaluation sets that our own judges have never seen, written and labelled by legal experts, and we treat performance on those sets as the real decisive evaluator of model performance.
Scenario simulation techniques
Expert judgment is scarce, we generate simulations of a wide variety of policy and legal scenarios. We have a line of research dedicated to maximizing the impact of expert annotated data, finding ways to extrapolate it into high quality synthetic training and evaluation data.
Agentic risk taxonomies
An agent that takes actions across many turns breaks rules and policies differently from a chatbot that answers one question. We build applied risk taxonomies, real-time controls to prevent agents from crossing red lines, and evaluations to catch them when they do.
A legal foundation model
We train our own foundation models on legal and compliance material across languages and jurisdictions. Alinia foundation legal models serve as the backbone for every policy judge. This boosts our judges accuracy and allows us to optimize latency.
Alinia's judges beat much larger models in specific judgements, at a fraction of the time and the cost.
Legal Engineering
Legal professionals were not expected to build AI systems. At Alinia, we are changing this. We are building one of the first legal engineering teams in the world. Our regulatory engineers are legal experts who train, evaluate, and try to break models (via adversarial testing techniques). This next generation of AI-enabled legal experts bring accuracy and robustness to Alinia AI judges.
How We Use AI
We built a set of internal tools that speed up jurisdictional analysis and policy spec review.
The standard we hold ourselves to: a legal expert validates every regulatory reference before it is used.
The tools make the work faster. They do not make the judgment.
Behavioral Risk & Legal analysis
Interpret what a jurisdiction actually demands of a regulated company, understand and map behavioral risks of the AI Agent the company seeks to deploy with policy and legal requirements.
Policy specification
The reference that says what a rule permits and forbids, with examples on both sides of the line. It is the backbone of Alinia's judge training pipeline, it guides researchers and experts validating the model behind the judge.
Scaling expert judgment
Expert-authored, expert-labelled interactions become the ground truth for training and evaluation. This is human judgment on real legal questions, it is the input you cannot buy, and the key for legal alignment.
Policy model building
With our custom training pipeline, legal engineers can go from legal provision or an internal policy to evaluating a purpose-built model's answers in hours rather than weeks. Legal experts hold the steering wheel.
Multiple disciplines, one team.
Our researchers and our legal engineers work side-by-side, with design and engineering to build models that are both as accurate and as fast as possible. Their skills and tasks are complementary and depend on each other to make our models the best they can be.
Working together with customers
Turning an identified risk, policy, or legal control into a judge that holds up on complex real scenarios is a hard legal and technical challenge. It is a research problem, and we treat it and solve it as such.
We hold ourselves to
A judge ships when it agrees with human experts, measured on data it has never seen.
Every judge traces back to a named provision in a legal framework (or specific clause in an internal policy).
No result reaches a customer or a slide without a verified number behind it.
When we cannot measure something yet, we say so.
Run AI like your reputation depends on it. Because it does.
See how Alinia helps regulated firms keep the AI that speaks for them inside their own rules.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Latest news from Alinia
Research, Articles, Product Updates, and Customer Stories
