Litera has unveiled a significant update to its Kira platform, a specialized contract intelligence tool designed for legal professionals. This latest evolution shifts towards a hybrid AI approach, blending the creative reasoning of generative models with the precise, reliable outputs of proprietary models trained specifically by lawyers. This dual-model strategy aims to solve the defensibility problem—the critical need for legal data to be explainable and accurate enough to stand up to professional scrutiny in a courtroom or audit.

One of the standout features is the introduction of Generative Smart Fields. Traditional contract extraction relies on pre-defined categories, but these new fields allow legal teams to use natural language to query documents. This means a user can ask for complex summaries or specific data points across thousands of files simultaneously, significantly expanding the platform's versatility. By bridging the gap between rigid data extraction and flexible linguistic understanding, Kira aims to reduce the manual labor involved in complex document reviews while maintaining high accuracy.

The update also spotlights Lito, an Agentic AI system that integrates with Litera’s existing suite of drafting and knowledge management tools. Lito is designed to handle end-to-end transaction workflows, from initial document classification to the final reporting phase. This approach suggests a move away from simple chatbots toward more functional systems that manage entire project lifecycles within a secure dashboard. This allows lawyers to maintain oversight while the AI handles the heavy lifting of data organization and cross-document comparison.

Litera has unveiled a significant update to its Kira platform, a specialized contract intelligence tool designed for legal professionals. This latest evolution shifts towards a hybrid AI approach, blending the creative reasoning of generative models with the precise, reliable outputs of proprietary models trained specifically by lawyers. This dual-model strategy aims to solve the defensibility problem—the critical need for legal data to be explainable and accurate enough to stand up to professional scrutiny in a courtroom or audit.

One of the standout features is the introduction of Generative Smart Fields. Traditional contract extraction relies on pre-defined categories, but these new fields allow legal teams to use natural language to query documents. This means a user can ask for complex summaries or specific data points across thousands of files simultaneously, significantly expanding the platform's versatility. By bridging the gap between rigid data extraction and flexible linguistic understanding, Kira aims to reduce the manual labor involved in complex document reviews while maintaining high accuracy.

The update also spotlights Lito, an Agentic AI system that integrates with Litera’s existing suite of drafting and knowledge management tools. Lito is designed to handle end-to-end transaction workflows, from initial document classification to the final reporting phase. This approach suggests a move away from simple chatbots toward more functional systems that manage entire project lifecycles within a secure dashboard. This allows lawyers to maintain oversight while the AI handles the heavy lifting of data organization and cross-document comparison.