Joshua Moore is a legal‑technology practitioner and solutions consulting leader who has spent his career helping corporate legal departments, law firms, and public agencies evaluate, implement, and scale modern legal tech. His work spans workflow automation, AI adoption, document management, labor costing, benchmarking, and legal operations strategy across both enterprise and public‑sector environments.
Joshua has led Solutions Consulting and Solutions Engineering teams at organizations including Checkbox, TrueComp, NetDocuments, and WeWork. Across these roles, he has worked directly with Legal Operations leaders, GCs, and cross‑functional stakeholders to design practical frameworks for intake, automation, process improvement, and technology selection. He has also contributed thought leadership across ILTA, CLOC, ACC, Consero, and Legal Operators.
He created CorporateLegal.tech as a neutral, practical resource for legal teams who want clarity in a crowded and often confusing technology landscape. The site reflects the patterns, evaluation criteria, and real‑world lessons he’s seen consistently help legal teams choose tools that genuinely improve outcomes — without vendor bias or marketing noise.
CorporateLegal.tech is where Joshua shares what he’s learned so legal leaders can make confident, informed decisions about the technology that supports their work.
Every industry gets an awards season, and legal tech had a year that deserves one. Agents everywhere, valuations nobody could keep up with, and a privilege dispute involving embroidered hats. So we rolled out the red carpet. Every award below is based on something that actually happened in 2026, and yes, we checked.
Budget season is here, and this year your CFO has read the same headlines you have: AI is everywhere, so why isn't legal cheaper? This template gives you a five-part budget structure, the 2026 benchmark numbers to support each line, and the questions your CFO is going to ask before you're in the room.
In 2026, legal AI stopped suggesting and started doing. Agents now review redlines overnight, triage intake and file documents on their own. But ACC found 41% of in-house departments have never audited for shadow AI, and in 73% of companies, legal doesn't even have final say on which AI tools get approved. Here's how to tell if you have an agent governance problem, and how to fix it.
2026 was the year legal AI went from experiment to infrastructure. Four AI giants built legal products, the legal vendors started training their own models, courts and legislators turned AI best practices into rules, and in-house teams started asking hard questions about who keeps the savings. We went back through every month. Here are the nine lessons that matter for 2027.
September was the month the rules around legal AI stopped being best practices and started being law. A federal appeals court ruled on AI training for the first time, California told lawyers exactly how they may use AI, and OpenAI launched a legal research product. Meanwhile, a pair of privilege and data breach stories reminded everyone where in-house risk really lives.