Legal Architecture
Legal Architecture for LegalTech and FinTech
I translate legal expertise into logic ready for development: decision trees, risk matrices, and specifications for developers
About This Practice
What is legal architecture?
There is a gap between buying an AI model licence and having a working product — and neither a developer nor an off-the-shelf chatbot closes it. A developer can write code, but cannot determine when an algorithm's decision becomes dangerous for the user. This is the legal-logic gap, and it is exactly what I close. The market officially recognized this same gap in September 2026, when OpenAI named LegalTech startup Telon an implementation partner for AI adoption at law firms (read the breakdown).
I do not replace your development team. I translate the law into a format your team can implement directly: condition matrices, "IF… THEN… ELSE" decision trees, registers of critical risks, and technical specifications for data verification.
Who This Is For
Who this practice serves
- Founders of LegalTech and FinTech startups designing or scaling a product
- Product teams and CTOs embedding AI into processes with legal consequences
- Investors who need a legal-risk assessment of a product's logic before committing capital
- Teams whose AI service is already live but fails on edge cases
What I Do
What legal architecture is made of
Ways of Working
How an engagement is structured
Every project differs in scope: designing a core for a service that integrates with official registries and a focused audit of existing logic are very different amounts of work. Rather than fixed prices, there are four formats of engagement, with cost discussed against your specific task. Not sure which format is yours? Walk through it step by step.
Format 1
Audit & Second Opinion
A rapid review of your service's existing logic: finding Red Flags and points where automation could produce a dangerous or legally unsound recommendation under live traffic. You get a report with specific risk points and recommendations for fixing the logic.
Request a project auditFormat 2
Core Architecture & Triage Logic
A complete technical specification for your developers: decision trees, a condition matrix, a risk register, an API verification map, and a calibration dataset for QA. Delivered development-ready — parameter tables and JSON files, transition specifications for Jira/Confluence, a calibration dataset in JSON. Variable parameters (amount thresholds, fees, reference tables) go into a separate configuration file, so your team can update them through an admin panel without rewriting code.
Discuss your projectFormat 3
Legal Maintenance
Ongoing support for logic already in production: regular audits and updates to your algorithms as Russian legislation and Supreme Court practice evolve.
Request a custom proposalFormat 4
Legal Ops & Client Communication
Designing two layers: internal processes for your team (legal SLAs, case stages for your CRM) and client-facing scenarios for high-stress situations (legal conclusion texts, objection-handling scripts, personal-account onboarding).
Discuss process designWhere It Applies
Products that need legal architecture
- Personal debt relief and bankruptcy services
- Compliance and KYC processes
- Lending and FinTech services with automated risk scoring
- Insurance products with automated claims processing
- Marketplaces and e-commerce with automated claims handling
- HR-tech and personnel document workflows
- LegalTech for business: automating due diligence and contract work
- Any product where an algorithm's decisions affect a user's rights or money
Questions & Answers
Frequently asked questions
Do you build the product itself?
No. I do not replace your development team — I work alongside it. My job is to deliver ready, codified legal logic and a clear technical specification that your developers can implement directly. More on how these roles differ.
Do I need my own development team already?
Yes — developers need to be on your side. I design the logic and specifications; I do not write or deliver code.
How is this different from a prompt engineer?
A prompt engineer configures an already-built model for a specific task. I work a step earlier: I determine which rules, constraints, and red flags need to be built into the system in the first place — without that, no prompt can know what is actually legally correct. Read more about the boundary between these roles.
Why hire an external architect if we already have our own lawyer and product manager?
An external architect does not replace either of them. Your in-house lawyer knows the law well but usually does not think in terms of decision trees and machine-readable specifications — that is a distinct skill at the intersection of law and systems design. Your product manager or prompt engineer can configure a model and a funnel, but cannot on their own determine where safe automation ends and a zone of legal risk begins. An architect delivers logic your lawyer can review on the merits and your product team can implement directly, instead of reworking it after errors show up in production.
How do we know the architecture is high quality before the code ships?
The acceptance criterion is the completeness and correctness of the delivered artifacts, not the future performance metrics of the finished product — how well the end result performs also depends on how your team implements the logic in code and which model you choose, and that is outside my scope of responsibility. You receive a full set of matrices and decision trees, a calibration dataset with reference answers, and a delivery acceptance report for each stage. Readiness is verified this way: your team runs the calibration dataset through the implemented logic and compares it against the reference answers — any discrepancies show exactly what needs fixing before it goes to production.
Do you work with teams outside Russia?
I work with teams in Russia and the CIS, remotely. The architecture is built for a specific jurisdiction — please specify yours when reaching out.
What happens if the law changes after the project is delivered?
That is what the Legal Maintenance format is for — ongoing support where I regularly check whether the logic has fallen out of date and update it against new statutes and Supreme Court practice. See a separate article on what already regulates AI in LegalTech and FinTech today.
How much do your services cost?
There are no fixed prices — the scope of work varies significantly with product complexity and the number of scenarios involved. Describe your task through the contact form, and I will propose a format and an estimate for your specific case.