Topic
generative AI
1,131 published works
Discerning Data
DHS Playbook for Public Sector GenAI Deployment – Insights for the Private Sector
By Craig R. Heeren, Charles E. Westerhaus, Yusuf H. Qureshi
In January 2025, the Department of Homeland Security (DHS) released its “Playbook for Public Sector Generative Artificial Intelligence Deployment” (the “Playbook”). The Playbook provides valuable insights and actionable steps that…
eDiscovery Bytes
Generative AI in eDiscovery – The Legal Questions No One Saw Coming
by Kelly Twigger How Courts Are Addressing AI-Generated Content in Discovery Disputes Generative AI has been transforming the legal industry, assisting with everything from case law summarization to document review…
The Patent Playbook
The Role of Generative Artificial Intelligence in Patent Litigation: A New Frontier for Inventorship, Infringement and Validity
As generative artificial intelligence (AI) continues to transform industries, its impact on patent law is raising critical legal questions. From the recognition of AI as an inventor and potential infringement risks…
Future Lawyer
#WhyIAmASolo – Florida Legal Research Assistant – Chat GPT Create Your Own Bot.
By rickgeorges
Florida Legal Research Assistant. The coolest thing about Gen AI for me is the ability to be on a level playing field with BigLaw firms and their armies of legal…
WilmerHale Privacy and Cybersecurity Law
Year in Review: 2024 Generative AI Litigation Trends
By WilmerHale Privacy and Cybersecurity Lawyers
Generative AI faced significant privacy-related litigation in 2024, with US companies encountering lawsuits and enforcement actions under various state and federal laws.
Data Privacy + Cybersecurity Insider
Privacy Tip #434 – Use of GenAI Tools Escaping Corporate Policies
According to a new LayerX report, most users are logging into GenAI tools through personal accounts that are not supported or tracked by an organization’s single sign on policy. These…
Adyog Blog
Canvas Mode: Revolutionizing LLM Productivity Workflows
By Kannan SP
For decades, human-computer interaction in natural language processing has followed the same static pattern: you enter a prompt, the model responds, and you either accept or discard the answer. But…
Adyog Blog
LLMs in Internal Corporate Workflows: Enterprise Adoption Blueprint
By Kannan SP
The quiet hum of corporate transformation is growing louder. Enterprises are no longer satisfied with LLM experimentation in isolated silos — they demand a cohesive, scalable blueprint for Large Language…
Adyog Blog
Evaluating Large Language Models for Enterprise Use — Beyond API Costs
By Kannan SP
As enterprises accelerate the adoption of Large Language Models (LLMs) across internal workflows, naïve cost comparisons are no longer sufficient. Evaluating LLMs requires a multi-dimensional approach — balancing performance, reliability,…
Adyog Blog
Transitioning from Task-Specific Models to Hybrid Reasoning Models — The Road to GPT-5
By Kannan SP
The era of task-specific models is fading. Large Language Models (LLMs) are no longer confined to narrow domains or trained for static capabilities. Instead, the AI industry is embracing Hybrid…