LN Labs / SOLUTIONS / 01 — REGULATORY INTELLIGENCE AGENT
Regulatory Intelligence Agent
Know what changed, whether it applies to you, and what to do about it, with every conclusion linked to its source.
IN DEVELOPMENT: Contract Intelligence Agent (COMING SOON), Entity Knowledge Agent (COMING SOON), Marketing Compliance Agent (COMING SOON)
THE CHALLENGE
The volume of change outgrows the team that reads it.
Regulators publish constantly. Someone has to read it all, decide what is relevant to your licences and products, and explain the impact to the business. Most of that time goes on items that turn out not to matter.
HOW IT RUNS TODAY
- Subscribe to regulator newsletters and alerts
- Read every item manually — MANUAL
- Decide relevance from memory — MANUAL
- Write an impact note from scratch — MANUAL
- Email the business and chase follow-ups
THE APPROACH
Check every update against how your business actually works.
Instead of reading everything, the workflow compares each development with your licences, products, policies and past decisions, then prepares what matters, with sources, for a lawyer to decide.
BUSINESS CONTEXT REQUIRED
What the AI must know about your company
- Licences held and the jurisdictions they cover
- Products and services in scope
- Obligations register and policy library
- Escalation owners and risk thresholds
- How similar changes were handled before
BUILT ON THE LEGAL BRAIN
The layers this solution runs on
- ROLE — SCOPE AND RESPONSIBILITIES: Your licences, jurisdictions and escalation owners
- KNOWLEDGE — LEGAL AND BUSINESS CONTEXT: Policy library, product map, obligations register
- MEMORY — HISTORY, ASSESSMENTS AND DECISIONS: How similar changes were handled before
- SKILLS / INSTRUCTIONS — REPEATABLE WORKFLOWS AND INSTRUCTIONS: Triage → applicability → impact → action
- SOURCES — TRUSTED EVIDENCE AND REFERENCES: Regulator sites and official journals, verified and dated
HOW IT WORKS
One item, end to end. An outsourcing guidelines update.
- LEGAL WORKFLOW — Regulator publications collected daily. FCA, EBA, EUR-Lex and your watchlist.
- BUSINESS CONTEXT — Licences, products and obligations. What the business does and where.
- LEGAL BRAIN — Role, policies and past decisions. How your team triages and escalates.
- AI / TECH — Classification and impact drafting. Enterprise model, connected to your sources.
- HUMAN REVIEW — Lawyer confirms relevance and impact. Edits or approves the memo.
- BUSINESS OUTCOME — Source-linked impact memo. Tasks routed to owners.
Human decision point: a lawyer reviews before anything leaves the team.
HOW IT WORKS · YOUR TOOLS
Built inside the tools your team already uses
- MODELS — Claude or ChatGPT, enterprise tier. Model choice evaluated per task.
- INTEGRATIONS — Regulator feeds and official journals. SharePoint policy library.
- EXISTING TOOLS — Shared regulatory inbox. Task tracker and Teams.
HOW IT WORKS · HUMAN REVIEW
Where legal professionals stay in control
AI prepares. Lawyers decide. Every review point is designed with your team, with clear criteria and escalation rules.
- REGULATORY COUNSEL — Confirms whether a change applies
- REGULATORY COUNSEL — Approves or edits the impact memo
- GENERAL COUNSEL — High-impact changes escalate to the GC
THE VALUE
What it is designed to improve
Impact memo with sources · Tasks for owners · Updated obligations register
- Less time on irrelevant change. Lawyers focus on the items that apply.
- Faster response. Relevant changes reach the business sooner.
- Consistent assessments. The same logic applied to every item.
- Audit trail. Every decision linked to its sources and reviewer.
THE PROOF · RELATED CASE STUDY
CASE STUDY · IN-HOUSE LEGAL TEAM — From Regulatory Updates to Business-Relevant Action. A context-aware AI workflow designed to help an in-house legal team monitor regulatory developments, assess relevance and prepare source-linked information for legal review.
UPCOMING RESEARCH · COMING SOON — Benchmarks: how Legal AI performs on real legal work
THE NEXT STEP
Start with an AI assessment of your regulatory intelligence agent workflow.
We map how the work runs today, the context it depends on, and what an AI-enabled version would need, then prioritise what to build first.