The challenges of AI in a CLM

Integrating artificial intelligence into a Contract Lifecycle Management tool is more than a simple functional add-on. A CLM concentrates sensitive contractual information: intellectual property, strategic commitments, commercial terms, financial data.

Introducing AI into this environment calls for particular rigour in governance and data control. Contractual decisions produced with AI remain the legal responsibility of the organisation and must be validated by a human.

The aim is not to speed up at any cost, but to place AI within a controlled, explainable contractual framework.

Gino's approach to AI

AI at Gino is a controlled tool, not a black box. Gino's AI offering is configurable (choice of provider), can be switched off, and is designed to prevent the use of client data for training purposes, with perimeters segregated by client.

Configurable AI and choice of provider

The provider can be chosen according to the client's context, existing technical environment and internal requirements (legal, IT or sovereignty-related). This choice is an organisational decision and makes it possible to align the AI architecture with internal policies.

Can be switched off

The use of AI is not imposed by default. It can be activated or deactivated according to the organisation's choices.

Data protection

Within Gino's AI offering, contract data is not used to train models and is not pooled between clients.
Each client perimeter is segregated, in order to preserve control over each organisation's own contractual environment.

AI Act: regulatory framework

Gino's AI offering is designed to be compatible with the requirements of the AI Act.

This compatibility rests on control, governance and security practices suited to the legal context.

AI does not replace the lawyer, but assists them in analysing and managing contracts, within a controlled framework with human validation and decision-making.

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