Mark Need, an attorney and clinical director at Indiana University Maurer School of Law, once remarked, “Nowhere is that chasm greater than in law school.” He’s pointing to something most professionals recognise: students graduate with solid theoretical knowledge but can’t apply it when things get messy. Traditional academic models teach principles. They don’t show you how to make decisions when you’re missing half the information you need, working against tight deadlines, and juggling conflicting priorities.
There’s another way to do this.
You can turn active work environments into educational laboratories. Take current cases, evolving techniques, and real-time decision-making. Make them visible and open for discussion. Suddenly, ongoing work becomes immediate educational content. This approach needs three key components: formalisation mechanisms, visibility structures, and governance frameworks. Different professional contexts suit different elements, but the model hits walls when transparency clashes with professional obligations.
Medicine, law, and engineering each show different parts of this model in action. Each also faces clear boundaries where transparency conflicts with professional obligations.
The Theory–Practice Chasm
The gap between theory and practice creates a structural problem in professional training. Academic institutions teach conclusions. They don’t show how experts navigate ambiguity. Case studies strip away the uncertainty and conflicting priorities that make applying principles so challenging. It’s like teaching surgery from textbooks that never mention the patient who won’t stop bleeding.
Zak Kramer, dean of Elon University School of Law, highlights a community-connected model where “students learn the law by practising it in the community.” This approach, implemented in Greensboro and Charlotte, aims to bridge the gap by integrating practical experience into legal education.
Kramer’s model points toward living laboratories but leaves the crucial mechanism implicit. The key is making professional decision-making transparent and discussable. You need to turn invisible processes of judgment and problem-solving into observable, teachable patterns.
So here’s the question: if the gap is so pronounced and alternatives exist, what structures allow practitioners to collapse this separation?
How do professionals convert active work into transparent, discussable educational content? Different professional contexts demand different architectural elements.
Formalisation: Converting Practice Volume into Documented Knowledge
In medicine, living laboratories depend on converting clinical throughput into documented knowledge. This requires structured mechanisms that transform practice volume into teachable content through explicit obligations forcing practitioners to articulate decision patterns and systematically analyse outcomes. Dr Timothy Steel provides one example of this approach. Steel is an Adjunct Clinical Associate Professor at the University of Notre Dame and a practising neurosurgeon at St Vincent’s Private Hospital in Sydney. His dual role positions surgical work within an educational framework where Masters in Medicine students learn from current procedures.
Steel’s sustained high-volume practice provides the throughput that makes his work a continuous educational laboratory. However, volume alone doesn’t create education – formalisation does.
Steel’s Spine Surgery Fellowship requires fellows to complete two research projects to final-draft level. This ensures that surgical experience becomes documented knowledge. The research requirement forces identification of patterns across cases and systematic outcome analysis, converting clinical experience into teachable content. Without this obligation, high volume just means doing the same thing repeatedly rather than building systematic wisdom from accumulated cases. The fellowship operates within Steel’s high-volume minimally invasive spine programme using advanced technology like Brainlab stereotactic navigation. Teaching in this environment shows students how technology-enabled decision-support systems reshape intraoperative judgment.
Steel’s fellowship structure demonstrates that converting high-volume clinical practice into educational content requires explicit research obligations – structured processes that make implicit professional judgment explicit and teachable.
Live Decision Transparency
While formalisation captures completed cases, it doesn’t expose real-time reasoning during decision moments. In professional services where judgment processes matter as much as outcomes, making decision-making visible as it unfolds is crucial. This requires technology-mediated transparency mechanisms that expose professional judgment in real time, allowing observers to see intermediate reasoning steps as they occur. Virginia Briggs provides one example of this approach. Briggs is the CEO and Managing Partner of MinterEllison, leading around 2,500 people across six Australian offices. By showcasing tools like Microsoft 365 Copilot in live settings like boardrooms, she makes her decision-making workflows transparent and discussable.
Traditional legal mentorship often hides the full decision-making process. Mentees see polished work products but miss the messy middle – watching someone deliberate between three plausible interpretations of a regulation or wrestle with competing client priorities. Briggs’ demonstrations expose intermediate steps – how she frames research queries and evaluates AI-generated syntheses. These demonstrations span executive tasks including researching potential clients, scripting complex stakeholder conversations, synthesising meeting transcripts, and triaging email at scale. Her advocacy for partners to learn these tools reinforces that current practice serves as curriculum.
MinterEllison’s institutional conversion mechanisms, such as Continuing Professional Development (CPD) programmes and a Digital Academy, turn ongoing experimentation with tools like Copilot into structured learning experiences. This systematises transparency into structured learning pathways.
Briggs’ live workflow demonstrations illustrate the in-situ visibility principle: rather than formalising knowledge after the fact through research requirements, living laboratories make decision-making visible as it unfolds through technology-enabled workflow transparency.
Governance Architecture: Managing High-Stakes Transparency
When public safety’s on the line, living laboratories can’t just wing it. They need explicit governance architecture. The real question isn’t whether to be transparent – it’s what institutional structures allow visibility without compromising safety or delivery quality. This demands trust-based or mission-driven organisational structures that provide institutional safeguards for high-stakes transparency through layered oversight, ethical screens, and clear accountability frameworks.
Jerome Frost OBE works on this approach as CEO of Arup, a trust-owned firm with over 18,000 members globally. Arup’s governance structure includes an Executive Management Board and independent Trustees providing oversight. This framework supports dual-role practice governance where practitioners teach from active projects.
Frost frames Arup’s trust-owned model as allowing focus on long-term public value. Projects like resilient rail infrastructure illustrate sustainable design thinking in action. Practitioners teaching circular-economy principles can point to live decisions shaping engineering choices under actual budget, safety, and regulatory constraints.
Take Arup’s design for the Forth Road Bridge. They retained the existing bridge for light traffic while building only a smaller new bridge for heavier vehicles. This significantly reduced material use, disruption, and cost compared to a full replacement. Real constraints. Real decisions. Real teaching moments.
Arup’s alignment with UN Sustainable Development Goals and emphasis on structured governance offer a context where engineers can turn project work into educational content supported by ethical screens and confidentiality protocols.
Here’s what matters: Arup’s layered governance structure shows that living laboratories handling public infrastructure need explicit institutional safeguards. Ethical screens, confidentiality protocols, and sign-off hierarchies let you convert project work into educational content without compromising safety or delivery quality.
These structural approaches to transparency mean little, however, without validation from those they’re meant to serve.
Learner Validation
Derek Matthews is an attorney practising in Tampa Bay who founded his own private practice in January 2024 after graduating from Cooley Law School in 2017. He remains actively involved with his alma mater through sponsoring the annual Alumni Golf Outing in Tampa and mentoring Cooley students and graduates. In a quote appearing in the Winter 2025 issue of Benchmark Magazine, he notes that Cooley Law School prepared him for both the bar and practice beyond tests. He highlights the value of instructors who were prior leaders in the field.
Matthews’ validation confirms practitioners bring distinct value. But his reference to “prior leaders” reveals something crucial about traditional models. They rely on former practitioners teaching about past experience rather than current practitioners making ongoing work visible.
It’s like waiting for chefs to retire before they’ll share their recipes.
The living laboratory model extends Matthews’ intuition. Rather than waiting for practitioners to retire and teach about what they once did, it structures active practice itself as curriculum. This delivers the practical teaching Matthews values while work remains current and decision-making processes fresh.
His distinction between instructors teaching practical application and professors teaching doctrinal foundations mirrors structures across three architectural dimensions: Steel’s fellowship combines clinical volume with research requirements; Briggs’ approach pairs live workflow demonstrations with formal CPD programmes; Arup’s model embeds active infrastructure projects within formal educational governance frameworks.
Simulation Support Systems
Universities build purpose-built support systems that enable living laboratory models by providing simulation environments and educational frameworks that individual practitioners may lack capacity to administer independently.
The IBM SkillsBuild artificial intelligence (AI) Experiential Learning Lab at San José State University illustrates institutional implementation of experiential learning at scale. Students apply AI tools to genuine industry challenges under practitioner guidance within an educational framework. Additionally, Seton Hall University’s Innovation Hub opened on January 15 on the ground floor of Walsh Library. Michael Soupios, TLTC Executive Director, describes it as a space for students and faculty to prototype ideas. Facilities include a Maker Studio with 3D printers, CNC equipment, robotics; an Exploration Studio with Meta Quest Pro headsets and high-performance PCs; Content Creation Studios with a four-microphone podcast setup, lightboard, video equipment; and a Solutions Studio offering daily technical support seven days a week by staff and student technicians.
These institutional models serve distinct functions from practitioner-led examples. Steel’s fellows participate in his actual surgical caseload; Briggs demonstrates workflows she uses for actual CEO decisions; Arup’s governance allows engineers to teach from actual infrastructure projects. IBM SkillsBuild and Seton Hall provide structured simulations and equipped spaces preparing students for eventual participation in practitioner-led environments.
Institutional infrastructure creates stepping stones – students gain initial hands-on experience with technology, teamwork, problem-solving in purpose-built educational settings before encountering full complexity, confidentiality constraints, time pressures of actual professional practice transformed into learning environments. Yet even these well-supported approaches encounter fundamental questions about where transparency becomes inappropriate.
Boundaries and Limitations
The living laboratory model hits walls where confidentiality requirements clash with educational transparency. Practitioners can’t showcase work that clients expect to stay private. They can’t demonstrate proprietary methods that give them competitive edge. Steel performs procedures without educational observation to maintain surgical throughput and patient privacy when cases involve particularly sensitive circumstances (though fellows assist in approximately 500 procedures annually). Briggs demonstrates Copilot workflows in firm settings for strategic decisions and general legal research approaches but can’t expose privileged client communications or firm-specific competitive strategies in development. Arup’s project-based teaching excludes commercially sensitive engineering innovations and client-confidential project details that contractual obligations protect.
The most educational moments are often precisely the ones that must remain private.
Teaching while practising forces practitioners to articulate decisions they’d otherwise make by gut feel. Not every practitioner has the volume or resources to handle both educational overhead and full practice demands.
The model works where professional obligations and educational transparency actually align. Think fields with established research and publication cultures. Low client anonymity requirements. Stable knowledge that benefits from being shared widely. It falls apart in domains requiring extreme confidentiality (intelligence work, sensitive government operations), rapid proprietary innovation (competitive technology development), or individualised craft knowledge that resists systematic breakdown (artistic practice where unique vision matters more than replicable process).
Medical education can incorporate living laboratories because clinical research is valued and ethical frameworks for case-based teaching exist. Corporate strategy consulting faces higher barriers because client confidentiality and proprietary methodologies define competitive value. Engineering infrastructure projects can become educational when mission-driven ownership and public benefit align. Classified defence engineering can’t.
Beyond practitioner-led models we’ve focused on here, related approaches appear in other contexts with different facilitation structures. Participatory action research in agriculture uses external researchers to help farmers articulate tacit knowledge through structured modelling. It shares the core mechanism of making practice transparent. But it differs in who creates that visibility.
The Path Forward
Living laboratories require different architectural elements depending on professional context – not a single universal model. Medicine demonstrates formalisation mechanisms – Steel’s fellowship research requirements convert high-volume clinical practice into documented knowledge through explicit obligations forcing articulation of decision patterns. Law and executive practice illustrate real-time visibility structures – Briggs’ live workflow demonstrations expose decision-making as it unfolds through technology-enabled transparency making intermediate reasoning steps observable. Engineering infrastructure practice shows governance frameworks – Arup’s layered oversight structure provides institutional safeguards enabling teaching from projects with direct public safety consequences without compromising delivery quality or client confidentiality.
These aren’t interchangeable approaches but complementary dimensions practitioners must combine differently based on their field’s demands. Pattern across domains: living laboratories succeed by making practice transparent, discussable, and where appropriate participatory through deliberate visibility, structured reflection, systematic documentation.
As the theory–practice chasm persists – Need’s observation that “nowhere is that chasm greater than in law school” likely applies across regulated professions – the living laboratory model suggests a shift towards integrating learning with practice through transparency mechanisms making ongoing work immediately educational. The question facing professional education isn’t whether this integration is possible – examples demonstrate it is – but whether institutions will invest in formalisation mechanisms, visibility structures, governance frameworks required to systematically implement it at scale. Committees love discussing innovation more than funding it.
Professional education appears moving gradually from teaching about practice through case studies to teaching through practice by making real work visible and discussable. This shift demands practitioners willing to expose decision-making processes, institutions willing to build supporting governance and technical infrastructure, regulatory frameworks recognising structured transparency as educationally valuable rather than professionally risky. Theory meets practice not when graduates bridge the gap themselves, but when the gap disappears entirely – when learning and doing become the same activity.
