Stephanie Curcio from NLPatent

AI Models

Stephanie Curcio, CEO of NLPatent, explains the innovative AI model development process that sets their platform apart. Unlike traditional decoder models, NLPatent employs an encoder model that accurately represents the meaning of patent documents, minimizing issues like hallucinations. This approach allows the system to identify similarities among millions of documents, enhancing accuracy and efficiency 1.

We use an encoder model, which also leverages a large language model, but it uses a large language model to represent the meaning of documents based on a very large set of numbers.

--- Stephanie Curcio

Stephanie highlights the adaptability of their AI architecture, which can seamlessly integrate new models without disrupting service, ensuring NLPatent remains at the forefront of AI advancements 2.

   

Selling AI

Selling AI solutions to law firms presents unique challenges, as Stephanie Curcio shares from her experience with NLPatent. Initially, there was skepticism about AI's capabilities, but the rise of tools like ChatGPT has shifted perceptions, making firms more open to exploring AI's potential. This shift has also heightened concerns about data security and confidentiality, which NLPatent addresses by ensuring robust safeguards 3.

When you're selling to a sophisticated buyer, it's really important to have trust of your end user.

--- Stephanie Curcio

Stephanie emphasizes the importance of trust and innovation in building a product that not only meets client needs but also integrates seamlessly into their workflows, establishing NLPatent as a trusted leader in the AI and IP community 4.