Expertise
Large-Scale Data Analysis
Turning millions of records into clear, credible, and compelling technical evidence.
Overview
Across virtually every area of technology litigation, the analysis of large volumes of technical data has become a primary form of evidence.
Expertise
Avia provides expert analysis involving the collection, processing, interpretation, and presentation of complex datasets. This work is technically rigorous, methodologically sound, and accessible to non-technical decision-makers.
Areas of Analysis
Server, Application & API Logs
Analysis of server, application, and API logs to reconstruct what a system actually did, including when it occurred, how it occurred, and who it affected.
Web Traffic & Behavioral Data
Analysis of how user interactions are captured, interpreted, and used by platform operators to drive algorithmic decisions, ad targeting, and content ranking.
Training Data Provenance
Analysis of training data provenance and composition in AI and machine learning disputes, including whether specific categories of content appear in training datasets and how dataset design influences model behavior and outputs.
Transactional & Behavioral Datasets
Review and analysis of transactional and behavioral datasets in e-commerce, financial, and consumer technology matters.
User Populations, Harm & Damages
Statistical characterization of user populations, harm patterns, and damages at a class-wide level.
Expert Methodologies
Analysis and critique of opposing expert methodologies, including sampling approaches, aggregation techniques, and statistical assumptions.
Typical Matters
Matters Frequently Involve
Large-scale data analysis is a common thread through Avia’s engagements across AI, data privacy, software platforms, telecommunications, and hardware matters. It often provides the analytical foundation for other expert opinions.
- Server, application, and API log analysis
- Web traffic and behavioral data analysis
- Training data provenance and composition
- E-commerce, financial, and consumer technology datasets
- User populations, harm patterns, and class-wide damages
- Sampling, aggregation, and statistical methodology
Representative Matters
Selected Representative Matters
A selection of engagements involving artificial intelligence, machine learning technologies, generative AI systems, and related intellectual property matters.
Encyclopaedia Brittanica v. Perplexity AI
Consulting engagement examining the use of copyrighted content within machine learning technologies and AI-powered information retrieval systems.
Daily News v. Microsoft & OpenAI
Technical analysis relating to the use of copyrighted content in generative AI systems, machine learning workflows, and large language model development.
The New York Times v. Microsoft & OpenAI
Consulting engagement involving the use of copyrighted material in the development and training of large language models and machine learning technologies.
RELATED SERVICES
How Avia Can Support Your Matter
Data & Source Code Analysis
Analysis of technical data, software systems, source code, logs, and system behavior to establish how technologies operate and what the underlying evidence demonstrates.
Discovery & Document Review
Technical review of complex records and materials to identify, organize, and interpret information relevant to technology-driven disputes.
Technical Reporting
Preparation of clear, defensible technical reports that translate complex software architectures, platform technologies, and system behavior into analysis accessible to attorneys, courts, regulators, and decision-makers.
A PARTNER YOU CAN RELY ON
Need Clarity From Complex Technical Data?
Whether you’re examining system logs, behavioral data, training datasets, statistical methodologies, or class-wide patterns, AVIA provides technically grounded analysis to support informed legal strategy.