I've Got More AI Labor Law Research Tools
Over 20 unions and law firms are now paid subscribers to my labor law research bots.
Sign up for a free trial by clicking here.
Earlier this year, I started offering free trials for my NLRB Research Bot. Since then, over 200 individuals and entities signed up for a free trial, and now over 20 unions and law firms are paid monthly subscribers. Apparently, these paid subscribers find my AI labor law research tools useful, and if you are a reader of this newsletter, you might too.
When I announced the free trials earlier this year, I only had the NLRB Research tool. The tool is used by prompting it inside Claude (or other LLMs) with NLRB questions. From there, the tool assembles all of the relevant legal materials from my NLRB Law database and then writes a cited and linked memo to answer the question.
Since then, I have quietly added four more research tools to the package:
LMRDA Research, which answers questions about the Labor Management Reporting and Disclosure Act of 1959.
MPSB Research, which answers questions about the Merit Systems Protection Board.
CA PERB Research, which answers questions about the California Public Employment Relations Board.
CBA Research, which uses my database of over 3,700 collective bargaining agreements to answer questions related to drafting CBA provisions.
I am a practicing labor lawyer and so I designed these tools with an eye towards what would be most useful to me, especially the NLRB Research, LMRDA Research, and CBA Research tools. With those three tools, you can automate a lot of the research that goes into being a private-sector labor lawyer.
If any of this interests you, please head over to the the free trial page and fill out the form (no credit card required). After approval, you will get an email with the five tools and instructions about how to use them. I use them all of the time in my own practice and clearly quite a few unions and firms that have tried them found them useful enough to pay for. So you might find them useful as well.