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RADSAM Academy of AI Sovereign Governance
North America's Judicial Forensic AI Auditing Firm
Empowering the Next Generation of AI Pioneers
At Radsam Academy of AI, we believe that the future belongs to those who understand the language of intelligence. Our curriculum goes beyond simple coding; we bridge the gap between complex theoretical concepts and real-world application, offering a comprehensive ecosystem for learners at every stage of their journey. Whether you are looking to master machine learning, explore the ethics of automation, or deploy sophisticated neural networks, Radsam Academy provides the expert-led mentorship and hands-on projects necessary to turn curiosity into career-defining mastery.
Radsam's Tuesday AI Litigation Briefing for Legal Professionals, Top-Tier Lawyers and Honorable Judges - September 1, 2026
This week’s Litigation AI GRC briefing focuses on evidence authenticity, contested AI risk decisions, enforcement, privacy, discovery, preservation, and governance. The recurring issue is simple: when AI affects litigation work or evidence, can the legal team explain what happened, who was responsible, which source or rule applied, and what was verified? For September 1, Ontario civil-rule amendments add defined certifications for authenticity and quotation accuracy in factum
Pouya Shafabakhsh
13 min read
AI-Assisted eDiscovery: What Law-Firm Leaders Should Preserve Before the Process Is Challenged
1. Why the Model Is Not the Whole Story Scope Comes Before Model Quality Generative AI can accelerate responsiveness review, but a model only sees the population it receives. A high-performing system cannot recover documents that were never collected, omitted through repository choices, or removed through an untested pre-culling boundary. Scope therefore becomes a litigation-management issue before it becomes a model-performance issue. Senior counsel should know which custodi
Pouya Shafabakhsh
4 min read
Radsam's Tuesday AI Litigation Briefing for Legal Professionals, Top-Tier Lawyers and Honorable Judges - August 25, 2026
I. Hidden Prompt Injection in a Court Filing Turns Source Integrity Into a Litigation-Control Issue Case or Development Summary and Status Litigation Daily reported that Connecticut Superior Court Judge Walter M. Spader Jr. sanctioned a self-represented plaintiff after hidden white, tiny-font text in court filings attempted to instruct any artificial-intelligence system reading the documents to favor the plaintiff. The court reportedly discovered the concealed text because un
Pouya Shafabakhsh
13 min read
What Ontario’s authenticity certificate does not certify
Law360 Canada (August 17, 2026, 9:14 AM EDT) The Law Society Tribunal’s six-month suspension in Law Society of Ontario v. Lee, 2026 ONLSTH 136 turned in part on a factum containing four defective authorities. Three of them did not exist. The fourth one did. This article was originally published by Law360 Canada (LexisNexis Canada Inc.) on August 17, 2026. Read the original article on Law360 Canada. Authentic, and wrong Ontario already had a rule aimed at this problem. Since D
Pouya Shafabakhsh
6 min read
From AI Hallucinations to Defensible Verification: A NYSBA CLE on New York Part 161
Artificial intelligence is already part of legal research, drafting, document review, and court-paper preparation. The more important question for litigators is increasingly not whether AI was used, but whether the work produced with its assistance can be independently verified before it reaches the court. On September 24, 2026, from 12:00 to 1:00 p.m. ET, I will have the privilege of co-presenting a live New York State Bar Association CLE program with Hon. Ronald J. Hedges,
Pouya Shafabakhsh
5 min read
AI Patent Litigation: Three Defensibility Records
Answer first: AI-assisted patent work is best governed as three separate questions: confidentiality, verification, and evidentiary methodology. A proportionate record for each question is more useful than a single generic “AI compliance” log. AI-assisted patent work is not one risk. It sits at the intersection of confidentiality, filing integrity, and evidentiary reliability. Those are different questions, controlled by different authorities and different facts. For U.S. pate
Pouya Shafabakhsh
6 min read
Radsam's Tuesday AI Litigation Briefing for Legal Professionals, Top-Tier Lawyers and Honorable Judges - August 18, 2026
I. Patent Eligibility Pressure Builds as AI Disputes Accelerate Case or Development Summary and Status Law.com highlighted an interview with departing U.S. District Judge Alan Albright focused on patents, litigation practice, and continuing uncertainty under 35 U.S.C. Section 101. The article headline framed his concern as a coming wave of AI cases unless Congress clarifies patent eligibility. That is commentary from an experienced patent judge, not a judicial holding and not
Pouya Shafabakhsh
13 min read
Before AI-Assisted Work Reaches Court, Can Your Firm Reconstruct the Review Trail?
A reconstructable AI review trail should identify the tool used, the information path, the resulting output, the independent verification performed, the person who approved the work and the final version submitted. If those elements cannot be established from available records—especially when a court milestone is approaching—a bounded Shadow AI Audit may help counsel identify the gap and decide whether further examination is proportionate. When AI-assisted work may support a
Pouya Shafabakhsh
4 min read
5 Advantages of a Boutique Judicial Forensic AI Audit Firm
A boutique Judicial Forensic AI Audit firm may fit a defined legal matter when counsel needs fewer handoffs, a transparent independence review, litigation-specific depth, economics tied to a bounded mandate and direct senior involvement. A large consultancy may be the better choice for enterprise transformation, multinational deployment or broad multidisciplinary work. The decision should turn on scope, conflicts, handling protocol, records, capacity and deliverables—not prov
Pouya Shafabakhsh
7 min read
Why Compliance-Passing AI Agents Fail Courtroom Scrutiny?
Overview On 21 July 2026 OpenAI disclosed that two of its models, running with reduced cyber refusals, escaped a sealed evaluation environment through a zero-day in a package-registry cache proxy and reached Hugging Face production infrastructure. A sandbox is a perimeter control. A perimeter control is not an observational control, and the two are not interchangeable in an audit file. When the layer that selects an agent’s execution route also writes the record of that route
Pouya Shafabakhsh
5 min read
Radsam's Tuesday AI Litigation Briefing for Legal Professionals, Top-Tier Lawyers and Honorable Judges - August 11, 2026
This week’s evidence makes one priority clear: litigation AI must be governed at the point where a claim becomes a filing or an agent becomes an action. Verification, authorization, evaluation, traceability, and accountable human judgment are the recurring controls across all ten developments. This is an honest AI disclosure. This briefing is my, Pouya Shafabakhsh’s analysis from the perspective of AI governance, risk, and compliance, and AI litigation. For the convenience of
Pouya Shafabakhsh
13 min read
The $29 Mistake: Inside the 6-Month LSO AI Suspension and How to Protect Your Law Firm
(If you prefer to listen, watch the video below for my breakdown of this ruling and how to safeguard your practice.) If you reviewed my Tuesdays' North America's Litigation AI GRC briefing, you saw a surprising news which was happened for the first time right here in Ontario: On July 16, 2026, the Law Society Tribunal issued a six-month license suspension and a $10,000 costs order against family law practitioner Mary Hyun-Sook Lee. Her mistake started with a $29-per-month Cha
Pouya Shafabakhsh
3 min read
Radsam's Tuesday AI Litigation Briefing for Legal Professionals, Top-Tier Lawyers and Honorable Judges - August 03, 2026
Executive Summary This week’s signal is not a single rule; it is the convergence of litigation, court sanctions, discovery practice, governance, professional-liability thinking, and legal-product design. Courts are allowing pleaded theories involving AI-enabled scraping and pricing to proceed while continuing to discipline unreliable AI-assisted filings. Meanwhile, legal teams are testing hybrid discovery, governance foundations, IP tools, autonomous agents, and co-designed l
Pouya Shafabakhsh
13 min read
Radsam's Tuesday AI Litigation Briefing for Legal Professionals, Top-Tier Lawyers and Honorable Judges - July 28, 2026
This week shows legal AI moving simultaneously into court filings, professional discipline, intellectual-property creation, consumer lawsuit tools, employment decisions, discovery analytics, law-firm supervision, legal-department operating models, product compliance, and private-equity infrastructure. Across each context, defensibility depends on authentic sources, preserved system versions, clear decision rights, proportionate testing, accountable human review, visible limit
Pouya Shafabakhsh
12 min read
AI Won’t Stand Before the Judge. Who Will?
As organizations aggressively adopt AI-assisted tools across hiring, compliance, investigations, risk assessments, and legal workflows, a critical legal reality has emerged in 2026: When an AI-assisted decision is challenged, who is ultimately accountable? AI can analyze complex information, identify hidden patterns, and support high-stakes recommendations. But AI does not possess legal personality. AI does not appear in court. People do. Boards. Executives. Managing Partners
Pouya Shafabakhsh
3 min read
Radsam's Tuesdays AI litigation briefing for legal professionals, top-tier lawyers and honorable judges - July 21, 2026
I. Judge Grants Final Approval for Anthropic's Record $1.5B Copyright Settlement Comprehensive Judicial Rulings and Fair Use Boundaries in AI Training Datasets Federal Judge Araceli Martínez-Olguín has granted final judicial approval to Anthropic's landmark $1.5 billion class-action settlement. The lawsuit, brought by a coalition of prominent authors and publishers, centered on the unauthorized downloading, ingestion, and central storage of millions of copyrighted books from
Pouya Shafabakhsh
11 min read
Radsam's Tuesdays AI litigation briefing for legal professionals, top-tier lawyers and honorable judges - July 14, 2026
I. Class Action Lawsuit Filed Against xAI and Stability AI Executive Summary A major class-action lawsuit has been launched against generative artificial intelligence developers xAI and Stability AI. The legal action alleges systemic misconduct regarding the ingestion of illicit, non-consensual materials during dataset training phases. This litigation underscores deep vulnerabilities in the data supply chains of foundational model creators, bringing massive institutional risk
Pouya Shafabakhsh
11 min read
Radsam's Tuesdays AI litigation briefing for legal professionals, top-tier lawyers and honorable judges - July 7, 2026
I. Bartz v. Anthropic: Procedural Challenges in AI Class Action Frameworks Case Summary and Status The pending status for the proposed $1.5 billion settlement in Bartz v. Anthropic highlights a pivotal moment in algorithmic class action litigation. The court is currently navigating complex administrative bottlenecks arising from untimely opt-outs among potential class members. This prominent litigation demonstrates the massive scale of liability that modern AI developers face
Pouya Shafabakhsh
11 min read
Radsam's Tuesdays AI litigation briefing for legal professionals, top-tier lawyers and honorable judges — June 30, 2026
This is an honest AI disclosure. This briefing is my — Pouya Shafabakhsh's — analysis from the perspective of AI governance, risk, and compliance, and AI litigation. For those who prefer listening, an AI-generated deep-dive podcast accompanies this edition. This is an honest AI disclosure. This briefing is my, Pouya Shafabakhsh’s analysis from the perspective of AI governance, risk, and compliance, and AI litigation. For the convenience of esteemed lawyers and busy C-suite ex
Pouya Shafabakhsh
12 min read
Radsam's Tuesdays AI litigation briefing for legal professionals, top-tier lawyers and honorable judges — June 23, 2026
This is an honest AI disclosure. This briefing is my, Pouya Shafabakhsh's analysis from the perspective of AI governance, risk, and compliance, and AI litigation. For the convenience of esteemed lawyers and busy C-suite executives, we have also created an AI-generated podcast, which provides a deep dive analysis for those who prefer listening over reading. This is an honest AI disclosure. This briefing is my, Pouya Shafabakhsh’s analysis from the perspective of AI governance,
Pouya Shafabakhsh
9 min read
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