Semantic Modeling with Emerging Tools + AI fairer Legal Agent Lease Negotiator
Please join us on Friday Feb 20th for another great session. Add a fulsome description.
Agenda:
- 8:45 In-person networking, coffee, and muffin at Deloitte's sunny Learning Centre
- 9:00 DAMA chapter announcements
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- Thanks to our Sponsors - Deloitte, Qlik
- 9:10 Shauna Begley quick overview of BCIT's BITMAN program
- 9:20 Miles Garvey on Semantic Modelling
- 10:15 Coffee and Networking break
- 10:30 Martin Lopatka on their development of an AI Agent to Negotiate Leases
- 11:30 Questions and discussions, coffee refill, networking
- Draw for a $50 Amazon Gift Card for in-person attendees only.
Semantic Modeling with Emerging Tools
AI tools are everywhere, but many organizations are finding that they don’t actually trust the answers. Executives ask simple questions like “What was revenue last quarter?” and get fast, confident responses that turn out to be wrong. The issue isn’t the AI. It’s that the business hasn’t agreed on what the data actually means.
This session explores why shared definitions and consistent business context are now essential for using AI responsibly and effectively. Instead of hard-coding logic into dashboards or individual tools, leading organizations are creating a central layer of business meaning that every report, application, and AI assistant uses.
In plain language, this talk explains how a headless semantic layer helps organizations:
- Speak a common data language across teams
- Ensure AI answers are consistent, explainable, and auditable
- Reduce confusion, rework, and conflicting numbers
- Build confidence in analytics and AI at the executive level
AI Agent - Lease Negotiator
Rawlsian Agents: AI tooling for forging fairer bilateral agreements
Bilateral agreements are ubiquitous in governing individual and societal norms for conduct and provide the underlying anchor of many enterprise operations. This talk introduces Rawlsian agents, an AI system that simulates negotiation between competing parties to generate a position-neutral contract.
The implementation draws inspiration from John Rawls' theory of justice as fairness, which remains a pivotal framework in understanding societal contracts and the fair administration of justice. Historically, key concepts from Rawls' framework for comparative justice have proven difficult to realize in practice.
In this paper, we present a novel approach that uses General Purpose Artificial Intelligence (GPAI) agents to forge fairer bilateral agreements, solving for information asymmetry via an information-flow management inherited from the core principles Of Rawls’ work. We use nuptial agreements to assess the performance of our approach for semi-automatic generation of bilateral legal agreements. Our results demonstrate the utility that Large Language Models (LLMs) can achieve in the analysis of human made agreements. This approach maintains sensitivity to some of the same vulnerabilities that apply to human-authored agreements, including intentional and unintentional deception and non-disclosure of key information. Nonetheless, we believe that Rawlsian agents represent a novel application of AI to the authorship of bilateral agreements from a position of fundamental fairness. For organizations seeking to scale this represents a practical, defensible first step toward contract authorship with clear procedural audibility grounded in the fundamental spirit of legal scholarship.
Miles Garvey
is a modern data strategist with cross-sector experience spanning public institutions, consulting, and high-growth private companies. With a background rooted in analytics engineering and data infrastructure, he has helped organizations evolve from fragmented reporting cultures into insight-driven, self-service ecosystems. Miles brings a holistic understanding of how data works in the real world. He speaks frequently about the evolving role of analytics teams, the future of data ownership, and how organizations can adopt AI-native infrastructure.
Most recently in the private sector, he led analytics and data platform initiatives at G2, where he built scalable data pipelines, implemented semantic layers, and AI-integrated analytics. Currently, Miles runs his own data advisory consultancy spanning larger institutions.
Martin Lopatka is a technology leader and AI systems developer working at the intersection of machine learning, AI ethics, and technology policy, with a focus on moving responsible AI from principle to practice in complex organizations. Earlier in his career, he developed statistical models for evidential value in judicial and intelligence applications, collaborating on data exchange and forensic databases across pan-European and national initiatives.
He has led diverse, globally distributed teams of engineers, data scientists, and researchers across organizations including Mozilla, Visualping, EPAM Systems, and Valtech. Over the past decade, Martin has delivered enterprise-grade AI, ML, and GenAI products at scale for clients spanning multiple industries, while expanding teams, driving innovation, and ensuring delivery aligned with business value.
His current focus is on the rigorous application of agentic systems and assistive AI technologies within modern software development lifecycles that prioritize human well-being and risk mitigation. In parallel, he contributes to policy efforts including the EU AI Act, the NIST AI RMF, and the OWASP Top 10 for LLMs, while continuing his involvement in the privacy‑enhancing technologies community. This work reflects a career‑long dedication to inference under uncertainty and to understanding the societal impact of data‑driven systems.
About our location:
- Deloitte Summit Building (architecture)
- Follow lobby signage to the 23rd floor
- Capacity - up to 140 people
- Location - Deloitte Summit Building at 410 West Georgia, Vancouver - great view!
- Please join us early for networking while enjoying the coffee, muffins, and croissants.
Premium Membership gives you access to the Recording, Slide deck, and Supporting Materials from each event. These are typically posted a week after the event.
DAMA-Vancouver 2026 Events - Mark Your Calendars:
- Please send in topics/vendors/paradigms you would like to see!
- Thu Mar 26 - Full day workshop - Semantic Modeling (Premium)
- Fri Mar 27 - Benefits of Semantic Modeling + AI Legal Agent Lease Negotiator
- Fri Apr 24 - TBA
- Fri May 22 - TBA
- Fri Jun 19 - TBA
- Fri Sep 25 - TBA
- Wed Oct 21 - DAMA Days Conference - Theme TBA (Premium)
- Fri Nov 20 - TBA
- Fri Dec 11 - Christmas Party (Premium)
