The Hidden Infrastructure of AI in Law: Why Legal Design Matters More Than Ever
Artificial intelligence is rapidly transforming the legal profession. Generative AI systems can summarize regulations, draft contracts, analyze large volumes of documentation and assist with compliance tasks in ways that seemed impossible only a few years ago.
Yet the growing presence of artificial intelligence raises a fundamental question: does legal design still matter in an age of AI?
The answer is yes — perhaps more than ever.
Far from making legal design obsolete, artificial intelligence is revealing how essential it actually is. If AI represents the new technological layer of the legal world, legal design remains the infrastructure that makes that technology usable.
Legal Design Was Never Only About Simpler Contracts
The concept of Legal Design is often misunderstood. It is sometimes reduced to the visual simplification of contracts: icons, timelines, better formatting, or simplified language.
While these elements can certainly improve the usability of legal documents, they represent only the visible surface of legal design.
At its core, legal design is about structuring legal information and legal processes so that they function effectively within real organizations. It involves thinking carefully about questions such as:
who needs legal information
at what stage of a business process
in what format
and with what level of complexity
Legal design therefore operates not only at the level of documents, but also at the level of systems. It concerns workflows, internal knowledge management, approval processes and the interaction between legal teams and business units.
For many years these questions were mainly associated with efficiency and clarity. Today they have taken on a new importance for another reason: artificial intelligence depends on structure.
Artificial Intelligence Cannot Fix Legal Chaos
Large language models and AI tools — such as ChatGPT and similar generative systems — are increasingly capable of supporting legal work. They can generate draft clauses, summarize regulatory frameworks, assist with due diligence and help internal teams navigate complex compliance requirements.
However, these tools share a critical limitation: they work best in structured environments.
Artificial intelligence thrives on patterns, standardized language and clearly organized data. When legal information is scattered across inconsistent templates, outdated policy documents or fragmented email exchanges, AI cannot reliably produce coherent or trustworthy outputs.
In other words, AI does not magically fix legal complexity.
It simply amplifies the structure — or the lack of structure — that already exists within an organization.
This is precisely where legal design becomes indispensable.
The Reality: Legal AI Is Already Being Adopted
Artificial intelligence is not a distant prospect for the legal profession. Many law firms and corporate legal departments are already experimenting with specialized AI platforms designed specifically for legal work.
Tools such as Harvey support tasks like legal research, due diligence and contract drafting. Other platforms, such as Legora, focus on large-scale contract review and structured document analysis. In Europe and Switzerland, companies like Legartis are developing AI systems capable of analysing entire contract portfolios and identifying legal risks across thousands of documents.
These tools already demonstrate the transformative potential of AI in legal work. Yet they also reveal a fundamental limitation: AI performs well only when legal knowledge is structured and accessible.
Without standardized templates, clause libraries and coherent document systems, even the most advanced platforms struggle to produce reliable results.
The lesson is clear. Technology alone cannot transform legal work. The transformation requires structure.
From Legal Design to Legal Architecture
Within modern organizations, legal design is increasingly evolving into something broader: legal architecture.
Legal architecture refers to the deliberate structuring of the internal legal system of an organization. It includes elements such as:
standardized contractual frameworks
modular clause libraries
structured approval processes
internal legal knowledge bases
clear interfaces between legal teams and business units
When these elements are thoughtfully designed, the legal function becomes scalable and interoperable with technology.
Artificial intelligence can then support tasks such as:
generating contract drafts from structured templates
identifying recurring risk patterns in agreements
guiding internal teams through compliance processes
translating regulatory requirements across jurisdictions
Without this architecture, however, AI risks producing inconsistent or misleading results. The technology may be powerful, but without structure it lacks reliability.
The transformation of legal work is therefore not purely technological.
It is organizational and architectural.
Why Law Firms Are Adopting AI — and Why That Is Not Enough
In recent years, many law firms have begun adopting specialized AI platforms to support their internal work. Tools designed for legal research, contract review or document analysis allow firms to process large volumes of information more efficiently and reduce the time required for certain legal tasks.
This trend reflects the growing pressure on law firms to deliver faster analysis and scalable expertise in an increasingly complex regulatory environment.
Artificial intelligence offers clear advantages in this context.
However, the adoption of AI by law firms should not obscure an important reality: the most critical legal architecture of a company cannot be outsourced.
External counsel can assist with transactions, litigation and regulatory interpretation. They can also deploy sophisticated tools to analyse documents or review large contract portfolios. But the internal legal infrastructure of a business — the systems that govern how legal knowledge circulates within the organization — must ultimately be designed and maintained inside the company itself.
Legal architecture must interact continuously with the business.
Contracts, compliance processes, data protection frameworks and internal policies are not static documents used only at the moment of a transaction. They are operational tools used daily by commercial teams, procurement departments, HR functions and product teams.
For this reason, the most effective legal systems are those embedded directly within the operational processes of the organization.
Artificial intelligence can certainly support external legal services. Yet its real potential emerges when legal knowledge is integrated into the internal workflows of a company — when contract templates, regulatory guidelines and compliance processes are structured in ways that allow both humans and intelligent tools to interact with them efficiently.
What Legal Architecture Looks Like in Practice
To understand why legal architecture matters, it is useful to consider a simple example.
Imagine a company operating across multiple European markets and entering into hundreds of commercial agreements every year — with distributors, suppliers, technology partners and service providers.
In a traditional model, each contract might be drafted individually by external counsel or adapted from previous documents. Over time, this produces a fragmented ecosystem of agreements with inconsistent clauses, different risk allocations and limited visibility over contractual obligations.
Now imagine a different approach.
The company develops a structured contractual framework consisting of:
standardized master templates for different types of agreements
a modular library of approved clauses
clear internal approval thresholds for commercial teams
a searchable repository of all contractual documents
Within such a system, artificial intelligence can assist with multiple tasks: generating first drafts from approved templates, identifying unusual clauses in incoming contracts, flagging regulatory risks or summarizing obligations across a portfolio of agreements.
In this scenario, AI does not replace legal expertise. It operates within a well-designed legal architecture that allows both lawyers and business teams to work more efficiently. Without that architecture, the same technology would simply be analysing a chaotic collection of unrelated documents.
Designing the Future of Legal Work
The emergence of artificial intelligence invites a broader shift in perspective within the legal profession.
Rather than asking whether AI will replace lawyers, a more meaningful question might be:
Who will design the legal systems that artificial intelligence will operate within?
Lawyers who understand legal design — and who can extend it toward broader forms of legal architecture — are uniquely positioned to shape this future.
They will not only draft contracts or interpret regulations.
They will design the structures that allow legal knowledge to circulate, scale and interact with intelligent technologies.
In the end, the real transformation of the legal profession may not lie in the tools themselves.
It lies in how we design the legal systems that those tools will inhabit.
Author’s note
The ideas discussed in this article reflect a broader evolution within the legal profession: the shift from purely advisory roles toward the design of legal systems within organizations. In practical terms, this often involves helping companies structure contractual frameworks, internal compliance processes and legal knowledge in ways that allow technology — including AI tools — to operate more reliably and efficiently. This is an area I have been exploring in my work at the intersection of international legal practice, regulatory compliance and legal innovation, with particular interest in how legal architecture can support organizations operating in increasingly complex regulatory environments.