Lawyer in the Loop Why AI Literacy Now Matters for Law Firms and Legal Teams In large enterprises, AI literacy is moving from specialist teams to the whole organization. Small and mid-size firms can't copy that playbook directly, but the underlying shift matters: your team needs to understand AI well enough to use it safely and effectively.
Legal Tech & Automation Why Legal Teams Are Looking at Open-Source Platforms Like Mattermost Legal teams are increasingly boxed in by cloud-only chat tools: rising per-user pricing, limited visibility into where data actually lives, and retention settings that don't map to professional obligations. Self-hosted platforms like Mattermost address those gaps.
AI Law Illinois’ 2026 AI Hiring Law and the New Federal Order: A Practical Dual-Track Compliance Playbook for Employers and Vendors If your recruiting stack uses resume scoring, chat-based screening, or video interview analysis, Illinois' next wave of AI hiring rules should be on your compliance calendar. This playbook covers dual-track obligations for employers and HR-tech vendors.
Technology, AI, & Digital Innovation Generative AI Training and Copyright Law: Fair Use, Technical Reality, and a Path to Balance Generative AI is colliding with copyright law in real time: lawsuits against model developers, growing creator backlash, and rising regulatory attention. This analysis maps how fair use doctrine applies to training data and where licensing intersects.
Development Journeys Integrating Code into Legal Practice: How a Lawyer–Developer Mindset Transforms Service for Tech Clients For most technology businesses, the product is software: APIs, data pipelines, and AI systems. That means core legal questions—IP ownership, data rights, compliance—require a lawyer who understands the code, not just the contract language around it.
Digital Presence & Online Policies Subdomains for Law Firms: Building Client Portals, AI Tools, and Internal Systems A subdomain is a section of your firm's domain—like portal.yourfirm.com—that points to a separate application. This guide covers architecture patterns for hosting client portals, AI-powered tools, and internal systems while maintaining security and control.
Legal Tech & Automation Why LLMs matter for legal work when designed around outcomes Many early AI pilots in legal stall for predictable reasons: models hallucinate, outputs sound confident but miss the point, or adoption collapses after the demo. The difference is outcome-driven design—building LLM integration around measurable legal results.
