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.
March was benchmark season, and the benchmarks said the same thing: generative AI had gone mainstream in corporate legal, but budgets, headcount and executive respect hadn't caught up. Meanwhile the two biggest legal AI startups raised three-quarters of a billion dollars, and Legalweek turned into a fight over who owns the lawyer's desktop. Here's the recap.
February was the month Wall Street panicked about legal AI, and the month two federal courts reached opposite conclusions about AI and privilege on the same day. It was also the month in-house teams put numbers on a suspicion: their law firms are using AI and keeping the savings. Here's the recap, with eight months of hindsight.
January set the tone for the whole year. New state AI laws switched on, the federal government announced it would fight them, and a judge reminded everyone that AI chats are discoverable records. Meanwhile, investors poured money into tools built specifically for in-house legal teams. Here's the month that started it all, with nine months of hindsight.
The arbitration clause was supposed to be the safe choice: one claimant at a time, no class action. This week Chariot Claims raised a $10 million Series A to file mass arbitrations at scale, and says it already handles more than 200,000 pre-qualified claims a month. Here are seven hard truths for in-house teams, plus what to actually do about it.
Legora and Harvey launched agentic intake tools for in-house teams on back-to-back days. Before any bot answers the business on legal's behalf, it needs rules. This template gives you a routing matrix, a playbook readiness checklist, escalation and privilege rules, copy-and-paste disclosure language, and a 30/60/90 scorecard with a go/no-go decision.