AVIOLAB AI
EN
IT
AVIOLAB AI
EN
IT
AI agents that analyse, draft and validate. NDAs, research and commercial agreements, license deals, contract review, and end-to-end patent application preparation. One engine, one workflow, source-verified outputs.
Three recurring problems we hear from legal teams, IP departments and partners in small to mid-size firms.
TTR-SUITE IP Legal reads, analyses, drafts, prepares patents and stress-tests them on the same engine. Each agent is tuned to your group's internal IP policy and your preferences before delivery, so the output is compliant with your in-house standards from day one, not after a round of corrections.
Six specialist agents, one per document family.
From blank page to negotiation-ready draft.
From invention disclosure to filing-ready application.
Demolish the draft before the examiner does.
Different matters require different document outputs. Case by case, here is what the suite produces.
When the agreement does not exist yet and you want a first version to negotiate from.
When the counterparty sent a draft, or you inherited an agreement and need to know what you are signing.
When the company wants something published, shared at a conference, or defended at university, and you need to know what is safe to disclose.
When you have an invention and want a depositable patent application drafted end-to-end.
When you have a draft application and want to know whether it survives examination before you file it.
Concrete examples, from the operator's question to what TTR-SUITE IP Legal does next.
TTR-SUITE IP Legal is not a generalist AI chatbot trying to handle everything. It is a team of specialist agents that collaborate, coordinated by ARBITER. Each agent is a distinct AI, specialised and trained for a single precise task in IP and contract work.
A team of dedicated specialist agents covering the IP and contract domain. Every case is handled by the agents with the right perimeter, with independent verifications between steps and full traceability of the reasoning.
Seven IP areas are presided, from confidentiality to patent applications, with specialist agents focused exclusively on each one. Across all areas, six operating modes are applied where they belong, so each output carries the same quality controls regardless of the document family.
Constraints baked into every agent, so the output you receive is usable on real cases, not impressive in a demo and unreliable at the desk.
Every agent operates under explicit no-hallucination rules on legal articles, contract clauses, citations and patent numbers. Where information is missing, the output says so explicitly. An honest «unverifiable» replaces a confident invention.
Every patent number cited in a draft, prior-art table or claim comparison is verified against public patent databases (Espacenet, EPO Register, WIPO PATENTSCOPE, Google, Lens.org, UIBM, USPTO) before it appears in the output. Numbers that cannot be verified are removed and flagged.
Risks are scored 0–100 on a fixed rubric, with calibration examples enforcing reproducibility. Fairness Level 0–3 is mathematically derived from weighted category scores: cannot be overridden by qualitative spin.
Each assertion carries a confidence tag – certain, probable, uncertain, unverifiable. You see at a glance what the agent is sure of and what it is flagging for human review.
An IP risk missed is more costly than a risk flagged. When in doubt between two severity bands, the agent picks the higher one. False positives bother you for an hour; false negatives cost the patent.
Five-level system protection (L1 to L5) blocks attempts to extract internal instructions through reformulation, role-play, encoding, translation or instructions embedded in submitted documents. Embedded overrides are flagged in the report, not executed.
The most rigorous proof we could think of: we used the system to prepare its own patent application.
The patent protecting the multi-agent architecture behind TTR-SUITE was drafted, attacked and validated by TTR-SUITE itself, in DIRECT interaction with the agentic coding system used to develop the software. Under close human supervision, the flow from the inventor interview to the UIBM filing was executed as an MCP interaction between the two AI systems: a continuous flow with minimal human intervention, one operator alongside, one engine producing the artefacts.
An Aviolab AI deployment inside the IP department of a major international industrial group, results across a quarter of operation:
Two paths, depending on the capability.
Standard commercial engagement, cloud deployment or confined on-premise within your IT infrastructure, depending on confidentiality requirements.
Available to selected partners on request. We work alongside your inventors, attorneys and IP managers to refine the workflow on real applications.
Public compliance documentation for TTR-SUITE Enterprise Edition v6.1: signed PDFs aligned with the EU AI Act (Regulation 2024/1689) and the GDPR (Regulation 2016/679). The same set is shared with every Enterprise client; client-specific addenda (IP policy integration, licensing) are delivered separately.
Formal risk classification under EU Regulation 2024/1689: art. 5 prohibited practices check, art. 6/Annex III high-risk check, final classification at Limited Risk (art. 50).
End-user notice under AI Act art. 50: how the AI works, capabilities, limitations, role of the human operator, accuracy figures, golden rules for correct use.
Data Processing Addendum with Zero Data Retention architecture: GDPR roles, data flows, encryption, Inference Provider, extra-EU transfers, data breach handling.
Technical documentation under AI Act art. 50: architecture, AI model, security, capabilities (~95% accuracy, 1200 pages), limitations, human oversight.
Talk to us. We'll show you the system on one of your real cases, an NDA, a license, a draft claim, whatever is on your desk this week.