New Paradigm for Crypto Assets: A Deep Dive into the SEC's Interpretive Release

Venable LLP analyzes the SEC's March 17, 2026 interpretive release on crypto assets, which establishes a five-category taxonomy (digital commodities, digital collectibles, digital tools, stablecoins, and digital securities) and applies the Howey test to distinguish securities from non-securities in the crypto space. The release supersedes the 2019 Framework for Investment Contract Analysis of Digital Assets and provides guidance on various crypto activities including mining, staking, and airdrops.

Third Circuit CEA Preemption for Prediction Markets Confirmed

The U.S. Court of Appeals for the Third Circuit issued a 2-1 ruling in KalshiEX LLC v. Flaherty, No. 25-1922, holding that the Commodity Exchange Act preempts New Jersey's gambling laws as applied to Kalshi's sports-related event contracts traded on CFTC-registered designated contract markets. The court found these contracts qualify as "swaps" under the CEA, triggering exclusive federal jurisdiction and shielding operators from state regulation under field and conflict preemption doctrines.

Environmental Justice Indicators Assess Inequitable Burdens, State Tools Compensate

The American Bar Association published an informational article examining environmental justice (EJ) indicators and their role in assessing inequitable environmental burdens across communities. The piece discusses the 2025 rollback of EPA's EJScreen tool under the Trump administration, which eliminated a nationally consistent dataset for identifying overburdened communities. The article notes that state EJ tools and community-based metrics are now filling the gap left by federal retrenchment.

Student Professional Identity Framework

The American Bar Association released a 14-minute on-demand presentation on establishing a meaningful framework for student professional identity in legal education. The presentation covers approaches to developing professional identity among law students. This is an educational resource from a legal professional association, not a binding regulatory document.

GDPR Article 15 Subject Access Request Complaint Assessment

The IDPC assessed a complaint under Article 77 GDPR regarding alleged failures by a controller to respond completely to two subject access requests made in August 2019 and May 2025. The complainant alleged the controller omitted key categories of personal data including employment-related correspondence, salary progression records, and Industrial Tribunal-related data. The Commissioner found the 2019 allegations inadmissible due to an approximately six-year delay between the access request and the complaint filing, which materially impaired the ability to investigate the matter with certainty.

Dell Patent US12596932B2 - Prediction Model Deployment via Distributed Data Distillation

The USPTO granted patent US12596932B2 to Dell Products L.P. covering methods for deploying prediction models using sketches generated through distributed data distillation. The patent describes a data node manager that identifies model deployment events, generates new models from a subset of data nodes specified in a registry, deploys models to data nodes, and updates the registry accordingly. The patent contains 12 claims and was filed on August 31, 2021.

Prediction-Model-Building Method and State Prediction Method

USPTO granted Patent US12596934B2 to WISTRON CORP on April 7, 2026, covering a prediction-model-building method and state prediction method using machine learning. The patent describes generating augmented training data to handle missing items in datasets and building prediction models based on such augmented datasets. The patent contains 20 claims.

Context-aware entity linking for knowledge graphs to support decision making

The USPTO granted NEC Corporation Patent No. US12596933B2 for a machine learning model combining context transformers with self-attention layers for knowledge graph link prediction. The model processes query embeddings (subject, object, relation) against knowledge graph data to generate attention scores and significance metrics. The decision head integrates these outputs to support AI-driven decision-making systems.

System and method for processing and transforming incoming resources to auto-code reporting parameters

The USPTO granted patent US12596935B2 to EMS Management and Consultants, Inc. covering a system for processing and transforming incoming resources into auto-coded reporting parameters using a decisioning engine. The patent claims 12 items and covers automated data preprocessing, auto-coding logic, and condition checking based on predetermined rules.

Predictive data analysis techniques using graph-based code recommendation machine learning models

The USPTO granted Patent US12596936B2 to Optum Technology, Inc. on April 7, 2026. The patent covers graph-based machine learning methods for predictive code recommendation, involving compressed forward-adjusted temporal distance measures and inferred edge weight values to identify related codes from training predictive code occurrences.