Ironclad AI Assist integration with GPT-4

Ironclad has integrated GPT-4 to power AI Assist’s automated legal review and redlining capabilities, significantly reducing the time required for initial contract passes. This integration allows legal teams to automate the identification of irregularities and apply company-specific guidelines to contract workflows.

AI Assist Capabilities and Technical Implementation

AI Assist’s primary function is to automate legal review by identifying and redlining irregularities within contracts. The tool leverages GPT-4 to provide pre-approved clauses and language guidelines derived from company-specific AI Playbooks on the Ironclad platform. It also supports ChatGPT-style text prompting for flexible interaction.

Key technical advantages cited by Ironclad include:

  • Instruction Following: GPT-4’s ability to follow precise instructions allows the system to make minimal, targeted modifications to text rather than complete rewrites, which is essential for maintaining the integrity of contract negotiations.
  • Integration: The model is integrated directly into the Ironclad contract editor for a seamless user experience.

Performance Impact and Efficiency Gains

The implementation of AI Assist has resulted in as substantial increase in speed for legal teams. According to Ironclad CEO Jason Boehmig, an initial pass at contract redlining, which typically takes approximately 40 minutes, can now be completed in two minutes using AI Assist.

Human Oversight and Data Privacy

To ensure accuracy and legal reliability, Ironclad has built human oversight into the workflow. Users retain full control over the AI's suggestions, with the ability to:

  • Accept or reject all automated suggestions.
  • Disable AI functionality entirely when necessary.

Regarding data security, Ironclad utilizes the OpenAI API. By default, OpenAI does not use data submitted via the API to train or improve its models, ensuring that customer contract data remains private.

Strategic Goal: Augmentation over Replacement

Ironclad's approach to generative AI is focused on augmenting human legal professionals rather than replacing them. The development team noted that the initial output of the model was comparable to the work of a first-year associate, positioning the tool as a productivity booster for legal engineers and attorneys.

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