Neota Logic Introduces New AI Governance Strategy for Legal Teams
Neota Logic has announced its latest initiative aimed at enhancing AI governance within legal teams. The company, now branding itself as the AI governance layer for legal professionals, has launched an AI orchestration capability that allows lawyers to integrate their preferred large language models into regulated AI workflows.
This new capability ensures that every interaction with a large language model is logged, evaluated against the team’s established rules, and requires human approval before proceeding. This marks a significant shift from Neota's previous focus on no code legal workflow automation, as the company pivots towards generative AI, particularly in the context of in house teams and compliance departments.
Neota Logic has stated that this AI governance offering is the first of several capabilities they plan to introduce, all designed to enable legal teams to operate at the pace of AI while maintaining the ability to validate their work. The company emphasises that the orchestration of AI models is embedded within a structured workflow, ensuring that the output is managed effectively.
The AI orchestration process is designed to streamline the use of large language models for specific tasks such as extraction, summarisation, and classification. The output from these models is then assessed against the firm’s guidelines, allowing for low risk matters to be resolved automatically, while more significant issues are escalated to the appropriate legal professional.
Each interaction with the AI produces a comprehensive audit trail, detailing the queries made, the responses received, the models used, and the individuals who approved the output. This centralised model approval process ensures that no AI model is invoked automatically, allowing legal teams to work with the providers they already engage, including Anthropic, OpenAI, Azure OpenAI, Google, Open Source, and AWS Bedrock.
Vinay Varma, Chief Customer Officer at Neota Logic, highlighted that clients are increasingly investing in AI technologies while seeking to retain the rules and controls that underpin their legal and compliance processes. The aim is to incorporate existing models into trusted workflows that can be defended and validated.
The introduction of large language models has posed challenges for no code workflow automation companies, as these models can perform complex tasks with simple prompts. Neota Logic is leveraging its 16 years of experience in workflow automation to enhance the outputs of large language models while ensuring robust governance and oversight.
John Lord, Chairman and CEO of Neota Logic, remarked that an AI model operating independently, without rules or documentation, poses a significant risk, regardless of the speed or quality of its responses. The company aims to establish a standard for the responsible use of AI in legal and compliance contexts.