Artificial Lawyer recently caught up with Tom Martin, the California-based lawyer and founder of pioneering legal bot, LawDroid, which helps people to incorporate companies just with a smartphone. We discussed how LawDroid got started, the synergy between legal tech and access to justice, and how the US start-up hopes to grow in the future.

Hi, Tom, great to see a lawyer creating their own legal bot. It shows that not everyone needs to be a professional coder to get into legal tech. But, to begin with, can you please explain to readers what LawDroid does?
Although I am not a professional coder, I’ve learned html, css, and php over the years, which now seems elementary and outdated. I agree lawyers have a lot to bring to legal tech even if they’re not programmers.
Beyond lawyers’ obvious domain knowledge and expertise, lawyers’ real world experience with clients — understanding of client personalities, expectations, behaviors and how to accommodate them — gives lawyers a great advantage.
Read more on Richard Troman’s Artificial Lawyer blog!

Tom Martin is a legal AI advocate, lawyer, author and speaker.
He is CEO and founder of LawDroid, a Generative AI Legal Technology company, and co-founder of the American Legal Technology Awards.
Tom has been recognized as an ABA Legal Rebel and Fastcase 50 Honoree.
Tom has presented as a speaker at ABA Techshow, LegalWeek, ILTACON, Clio Con, Legal Innovators, and many others. Tom’s writing has been published in the ABA’s Law Practice Today, Law Technology Today and GP Solo Magazine, to name a few; he has also been featured on numerous podcasts, including Legal Rebels, Un-Billable Hour, Lawyerist, the Digital Edge, and New Solo.
Tom also has his own podcast: LawDroid Manifesto on iTunes. Subscribe to his Substack at lawdroidmanifesto.com.
He serves as a mentor at the Yale Tsai Center for Innovative Thinking and ATJ Tech Fellows. Tom is a graduate of Yale and UCLA School of Law.
Born and raised in Los Angeles, California, Tom now lives in Vancouver, Canada with his wife and two daughters.
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