Kalloghlian Myers

For the project with Kalloghlian Myers LLP, one of Toronto’s premier class-action law firms, I had the unique opportunity to pioneer the integration of AI into legal operations. The objective was ambitious: to develop a localized firm chatbot, leveraging AI to digest comprehensive case information, enabling the client and their team to interact and query the dataset on a case-by-case basis.

To achieve this, we harnessed the power of AWS, Slack, and Langchain to construct an event-based architecture that melded seamlessly into the client’s Slack ecosystem. This innovation allowed for app-based prompts within various channels, offering a revolutionary way to access and interact with case data directly from the familiar interface of Slack.

One of the primary challenges we faced was managing long call times, a limitation compounded by the need to work within restricted context windows. Additionally, the sensitive nature of case data demanded stringent security measures to ensure confidentiality and compliance with legal standards. Keeping pace with the rapidly evolving AI landscape also posed a significant challenge, requiring us to be agile and forward-thinking in our approach.

Despite these hurdles, the pilot project exceeded our expectations. It served as a powerful demonstration of how AI can enhance efficiency and decision-making in legal practices. While the project was exploratory in nature, the insights gained have laid a solid foundation for future developments. We are excited about the potential to continue creating sleek application interfaces that connect and support corporate teams, all while safely leveraging the power of artificial intelligence to streamline operations and enhance service delivery.