Artificial intelligence (AI) is revolutionizing the way legal professionals and businesses analyze and manage documents, with non-disclosure agreements (NDAs) being a prime example. Traditional NDA review can be time-consuming, repetitive, and error-prone, often requiring legal experts to sift through lengthy, highly detailed documents. AI is changing this process. It's providing faster, more accurate, and more efficient ways to analyze these documents.

• Consistent Analysis: AI can analyze NDAs in a fraction of the time it would take a human reviewer to do so.
• Risk Assessment: AI can flag clauses that contain unclear or risky language, omissions, or inconsistencies with company policy, helping companies avoid unexpected obligations or liabilities.
• Cost Savings: Automating parts of the legal review process reduces the need for extensive manual work, making AI-driven NDA analysis a cost-effective solution for companies of all sizes.

AI improves the legal document review process by increasing speed, accuracy, and consistency while reducing costs and providing strategic insight.

Powering Industry-Leading Solutions

We work closely with software vendors in many different industries who are working on cutting-edge software projects that integrate Text Control document processing libraries. Industries include legal, healthcare, banking, insurance, and many others. In a recent project, a legal software company is working on an AI-based contract assistant that helps analyze contracts in different formats, suggest changes, and warn of risks.

TX Text Control can help with many aspects of this particular scenario:

• Load and save DOCX, PDF, and other formats to access the text.
• Mark sections in the document using SubTextParts.
• Extract text from specific sections.
• Provide a full-featured editor for users to modify the document.
• Help users navigate through suggestions based on tracked changes.

Most contracts in today's legal ecosystem exist as MS Word documents in the Office Open XML DOCX format. Besides the powerful import functionality to load MS Word documents and extract the text, TX Text Control provides a true WYSIWYG MS Word-like document editor for any web application.

Now consider the following workflow:

TX Text Control is used to load the contract and extract paragraphs or entire sections based on the full API that can be used to manipulate and access the contents of an MS Word document. The sections are analyzed by the AI to suggest changes to those parts of the text. All sections can be marked within the document using the SubTextPart feature, which provides additional data to a section of text, including a name, ID, and additional data storage. These sections can contain a unique ID that is linked to the AI suggestions.

The automatic changes made by AI can be added to the document as tracked changes so that they are visually highlighted in the document.

Programmatic Changes

The ServerTextControl class implements a non-UI component for programmatically creating documents or connecting to the MailMerge engine to generate documents from templates and hierarchical data. These processes don't require access to interactive features such as adding tracked changes or accepting and rejecting changes.

However, if you want to enable interactive features such as track changes, you can use the interactive TextViewGenerator class.

The following code shows how to make a programmatic change to a document that is tracked with a specific username.

using (TXTextControl.ServerVisualisation.TextViewGenerator tx = 
    new TXTextControl.ServerVisualisation.TextViewGenerator())
{
    tx.Create();
    tx.Load("nda_revised.docx", TXTextControl.StreamType.WordprocessingML);

    tx.IsTrackChangesEnabled = true;
    tx.UserNames = new string[] { "AI Generated" };

    tx.Paragraphs[10].Select();
    tx.Selection.Text = "This text has been improved by AI.";

    tx.Save(out tempDocument, TXTextControl.BinaryStreamType.InternalUnicodeFormat);
}

Now the user can accept or reject these changes and create the final contact, which can be saved as MS Word or PDF. TX Text Control can also be used to send this document into a document signing workflow where users can electronically and digitally sign the document online.

Conclusion

AI is revolutionizing the way legal professionals and businesses analyze and manage documents, and NDAs are a prime example. AI-powered NDA analysis provides faster, more accurate, and more efficient ways to analyze these documents. TX Text Control provides powerful document processing libraries that can be used to load, analyze, and modify MS Word documents in any web application.