Starting the Workflow
To kick off the workflow, we’re going to add a contract template into a folder. The document is gathered from a reliable and anonymized source, Sebrae, and stored in Google Drive. Saving the document acts as the trigger that starts the workflow!
Contract Processing by AI
Once the contract is saved, the AI starts working. Its goal is to analyze the document, making comparisons and extracting relevant information. During the analysis, the AI is programmed to provide clear outputs, organized in a spreadsheet format, which include:
Risk Score: A rating from 0 to 100 indicating the level of risk associated with signing the contract.
Focus Points: A list of 10 items highlighting clauses or important details that need closer review.
Conclusion: A summary that organizes the points to make them easy to read and understand.
Analyzing the Results
After processing is complete, the user can review the outputs generated by the AI. For example, one point of attention might include clauses implying full reimbursement responsibility. The user can easily confirm if the AI correctly read the document and found relevant information, such as the specific clause mentioned.
Pedro illustrates this analysis by looking for details about reimbursement responsibility and identifying potential issues, such as labor disputes and penalties, with the AI highlighting fines and contractual responsibilities.
Comparison of Contract Models
In addition to analyzing a specific contract, the process also allows for comparisons between different contract models. From the same initial trigger, the AI can compare Sebrae's contract with the company’s own model, highlighting the differences. This provides a holistic view and comprehensive analysis of clauses, offering insights into topics like terms and penalties that may be more or less favorable!
Flexibility and Customization
A remarkable feature of Tess is its flexibility. The AI isn’t limited to just one response format; it can generate analyses in different formats, like a Google Doc, ensuring the user can work in a customizable way, adapting to the specific needs of each legal scenario, just as your prompt can define how the comparison will be.
Conclusion
The use of AI in contract analysis not only optimizes the time and resources involved in the task but also produces more accurate and relevant results. This innovative approach represents a significant evolution in how companies handle legal documentation, as it brings modern technologies to everyday business life!