Meet Armin Catovic. Keynote speaker at Nordic Legal Tech Day – Stockholm!
Tell us how you ended up working in legal tech?
I left legal tech at the beginning of the year and have since been working at Funnel, a Swedish company that builds a global marketing intelligence platform. However, a lot of the skills and principles are directly transferable – focus on aggregating multiple data sources to reinforce decision making, data quality and accuracy, and applying deliberate agentic loops on top of all this data. I originally entered legal tech with Aloi (one of your local sponsors) due to a conviction I had that modern AI can genuinely help the legal system, and largely for two reasons: (1) frontier LLMs are inherently excellent at language understanding, and law is all about language; (2) the real power lies in latent knowledge embedded in all your institutional data, and agentic AI is rapidly able to extract and apply this latent knowledge.
”There are more efficient and effective means of capturing institutional knowledge than training your own LLMs”.
If you had to bet on one legal AI use case that will be mainstream within two years, and one that people are overhyping, what would those be?
Two years is way too long in the current AI timescales so this is very tough. It’s not unreasonable to see the full drafting of legal matters to be completely automated, even including some aspect of automatic negotiations. We may see two AI systems from counterparties lock heads against one another, with human lawyers essentially playing a careful reviewer and strategist role. One aspect that is overhyped (as much as I actually really love this), is training your own LLMs for legal work. Frontier models from the big labs, including the open weight models, are simply too good and evolving too quickly. There are more efficient and effective means of capturing institutional knowledge than training your own LLMs.
Nordic Legal Tech Day brings together lawyers, technologists and business leaders. What conversation do you hope to have here?
I’m interested in both technical and business aspects, and as mentioned previously, despite it being a legal tech conference, it is transferable to nearly every sector. From a business perspective I am interested in understanding if there is a general shift in law firms acquiring data and AI expertise in-house, as opposed to buying specific SaaS solutions. Are law firms re-thinking their org structure? How are tokenomics impacting both the law firms, as well as the legal tech companies? Are law firms considering changing their business models given that AI tool utilization and automation is steadily increasing? From a tech perspective I’d like to understand how the institutional knowledge is being extracted and represented. Given that most legal AI solutions are using the same models, is the entire legal industry collapsing to the same prior, and what are companies doing to make their AI system differentiate from the counterparty’s AI system?
Thank you so much for your time Armin and we are looking forward to listen to you on October 7 // nltd crew
For tickets: https://nordiclegaltechday.com/nltd-stockholm/