CorporateLegal.tech is a neutral directory and resource for in-house legal departments. Our editorial team uses AI and tracks what is happening in legal technology, from AI adoption and regulation to pricing and procurement, and turns it into practical guidance for General Counsel and legal operations leaders.
We publish four kinds of content: Articles on running a modern legal department, Problems and Solutions that connect common headaches to the technology built to fix them, Templates you can put to work right away, and Watercooler takes on the lighter side of legal tech.
Our goal is simple: help legal teams make confident, well-informed technology decisions without the vendor noise.
Last week AT&T named OpenAI a design partner for its in-house legal agency, and BMW rolled out legal AI across its legal department. It's tempting to file that under "nice for them." Don't. Most of what makes these programs work has nothing to do with budget or a famous AI lab, and you can start copying it on Monday.
A flat-fee contract review from $500. Contracts returned the same day through Slack. This week's AI-native law firm headlines read like a list of everything in-house teams have asked outside counsel for since the 1980s. Here are seven hot takes on why these startups matter even if you never hire one, and what your NDA queue should learn from them.
Three legal tech acquisitions landed in a single week, and each came with reassuring words about continuity. Your department's job is to check those words against your contract. This template gives you a 30-day plan: triage, a seven-clause contract review, vendor questions you can copy and paste, and a Green/Yellow/Red scorecard that ends in a decision.
Relativity's CEO confirmed this week that the 2028 deadline for its on-premises product still stands: starting January 1, 2028, new matters go to the cloud. Many legal departments don't know which platform their review data actually sits on. That's the real problem, and with about 15 months to go, it's very fixable. Here's the diagnosis and a four-step plan.
The first federal appeals court ruling on fair use and AI training isn't about chatbots. It's about Westlaw headnotes. The opinion is still sealed and ROSS says it's headed to the Supreme Court, but the case already raises questions every legal department should ask its AI vendors. Here are five practical lessons, from training-data provenance to the IP indemnity you'll hopefully never need.