THE PLATFORM
The infrastructure behind agentic legal AI.
Frontier models are powerful. But without authority-ranked retrieval, structured verification, and dual-track LLMs around them, they leave too much to the lawyer and too much to chance. This is what Regumint builds around the model.
THE PROBLEM
Why generic AI fails heavily regulated practice.
These are not edge cases. They are the structural failure modes of applying general-purpose AI to regulatory work, regardless of how well you prompt.
Authority hierarchy ignored
Generic AI retrieves by relevance, not legal authority. A regulatory FAQ and a binding regulation look equally relevant to a semantic search. The relationship between sources - which outranks which - is invisible to the system.
Temporal precision missing
Regulatory frameworks evolve continuously. A source that was authoritative twelve months ago may be superseded today. Generic AI produces confident answers grounded in outdated instruments, with no flag that anything has changed.
Jurisdictional stacking collapsed
A single regulatory question can span primary law, directives, national transpositions, and supervisory guidance that diverges by country. Generic AI collapses these layers. The interactions that determine the answer are lost.
Gaps hidden, not surfaced
When a critical instrument is absent from the retrieval, generic AI reasons around the gap. It produces coherent answers from incomplete sources. In regulated practice, what the system doesn’t know is as significant as what it does.
THE APPROACH
Purpose-built infrastructure, not better prompts.
Regumint is not a better prompt. It is the infrastructure that makes AI output reliable for professional regulatory work, configured for each practice area, with the legal frameworks that govern your domain built into how the system operates. Authority-ranked retrieval. Structured verification. Dual-track LLMs. Agentic execution. Built first for EU regulatory complexity, the most layered regulatory environment there is.
See how the system is configured for your practice areaHOW IT WORKS
From regulatory task to defensible deliverable.
A data processing question doesn’t just implicate the GDPR. It may engage the AI Act, sector-specific rules, and national transpositions that interact. Generic AI answers the question asked. Regumint determines which questions need to be asked first.
REGUMINT // Regime Identification
CSRD double materiality assessment - 3 EU subsidiaries
Before retrieval begins, the system determines which regulatory regimes govern your task - not just the one you asked about.
Generic AI answers the question asked. Regumint determines which questions need to be asked first.
Regulatory work routinely requires understanding how multiple instruments relate, and which one prevails where they conflict. Regumint structures this analysis across instruments and jurisdictions, so nothing falls through the cracks.
REGUMINT // Multi-Instrument Planning
Regulatory work requires understanding how instruments interact - and which one prevails where they conflict. This structure is planned, not discovered after the fact.
Parallel track
Parallel track
Parallel track
3 instruments · 3 jurisdictions · structured execution plan
The sources that reach your output are there because they govern this task in this jurisdiction, not because they contain matching keywords. Binding sources outrank guidance and commentary. Built first for the most layered regulatory environment there is.
REGUMINT // Authority-Ranked Retrieval
Binding legislation prioritized
Primary sources outrank guidance and commentary
Jurisdiction-specific sources matched
FR, DE, NL implementations retrieved separately
Temporal currency verified at retrieval
Superseded instruments excluded automatically
Cross-language retrieval
Sources retrieved in original language, analyzed in yours
47 sources reviewed · 18 selected · the sources that reach your output are there because they govern the question
Every output is independently audited. Are the sources current? Do they match the required jurisdiction? What is missing? Gaps are surfaced explicitly: what the system doesn’t know is as visible as what it does.
REGUMINT // Verification & Gap Detection
Runs on every output · impossible to skip · what the system doesn't know is as visible as what it does
The output is a defensible deliverable: a research memo, a compliance assessment, a cross-jurisdiction analysis. Every claim traced to its source. Every gap named. Configured to the practitioner’s workflow and level of autonomy.
REGUMINT // Finished Deliverable
VERIFICATION
Structured verification on every output. Impossible to skip.
Every output is independently audited across multiple verification dimensions before it reaches you. You don’t prompt for it. You don’t remember to ask. It runs every time, calibrated to your practice area.
Are your sources still current, or has the regulation been superseded?
Do the retrieved sources actually match the jurisdiction your question requires?
Where are the gaps? Which instruments that should govern this question are absent?
What are the strongest counter-arguments from the corpus?
These are examples. The verification framework runs across multiple structured dimensions on every output, calibrated to your practice area.
AGENTIC EXECUTION
End-to-end execution. From research to finished deliverable.
The verification layer, the retrieval engine, and the dual-track LLMs, composed into agentic workflows. The practitioner defines the scope. The system plans, executes, and produces.
Parallel Research Memos
Complex regulatory tasks decomposed into sub-tasks, run in parallel through verification, and synthesized into a structured research memo. Every section verified. Every gap named.
Document Compliance Checks
A draft document checked against a regulatory benchmark, built from parallel regulatory research, then analyzed clause by clause. Gaps and conflicts surfaced systematically.
Private Corpus Research
The same agentic workflow applied to your firm’s private reference bank: internal precedents, past opinions, client-specific guidance, on sovereign models where professional secrecy applies.
End-to-End Drafting
Research, verification, and document generation in one workflow. A compliance memo, a contract clause, a regulatory assessment, grounded in verified research and your firm’s own precedents.
DUAL-TRACK LLMs
Frontier models where you can. Sovereign models where you must.
Frontier Models
For public regulatory research. Maximum reasoning quality on non-sensitive regulatory corpora. The full power of frontier AI where professional secrecy is not engaged.
Sovereign Models
For confidential work. Documents never leave the controlled environment. The same verification framework runs on both tracks: same structured controls, same quality standard.
The practitioner doesn’t manage two workflows. The routing is automatic. The verification standard is identical on both tracks.
Ready to see it execute?
Book a walkthrough or request a trial. No credit card required.