Unlocking Legal Precision: How to Analyze Contracts and Flag Risk with Local AI Using AirgapAI

Become the person who spots the clause that saves the deal. The result isn’t a redline; it’s fewer surprises and faster negotiations.

In today's fast-paced business environment, legal professionals, procurement specialists, and company founders face immense pressure to review intricate contracts quickly and accurately. The stakes are high: a missed clause can lead to significant financial loss, legal battles, or damaged reputations. While Artificial Intelligence (AI) promises to revolutionize this process, concerns about data security, privacy, and accuracy have often kept sensitive legal documents locked away from cloud-based solutions.

Enter AirgapAI by Iternal Technologies – your secure, on-device Artificial Intelligence assistant designed to transform your contract review process. This comprehensive guide will walk you through leveraging AirgapAI to upload, extract key terms, compare against your internal policy playbooks, flag critical variances, and produce executive summaries, all while ensuring your confidential legal data never leaves your device. Prepare to embark on a journey that will demystify AI and empower you to become a master of efficient, secure, and accurate legal analysis.

Table of Contents

1. Introduction to AirgapAI and the Power of Local Artificial Intelligence
   • What is Artificial Intelligence (AI)?
   • Why Local AI for Contract Review?
   • Introducing AirgapAI
2. System Requirements and Installation
   • Minimum and Recommended System Specifications
   • Downloading and Installing AirgapAI
   • First-Launch Onboarding Wizard
3. Understanding Blockify: Your Data's Single Source of Truth
   • What is Blockify?
   • Why Blockify is Crucial for Accurate Legal AI
   • Creating Your Policy Playbook Dataset with Blockify
4. AirgapAI for Legal AI: A User Interface Tour
   • Navigating the AirgapAI Application
   • Model and Dataset Management for Legal Workflows
5. Step-by-Step Workflow: Analyzing Contracts and Flagging Risk
   • Step 1: Preparing Your Contract for Ingestion
   • Step 2: Uploading Your Contract for Analysis
   • Step 3: Engaging with Your Policy Playbook Dataset
   • Step 4: Extracting Key Terms and Identifying Variances
   • Step 5: Leveraging Entourage Mode for Multi-Perspective Risk Assessment (The "Risk Heatmap" Prompt)
   • Step 6: Generating an Executive Summary
6. Advanced Configuration and Continuous Improvement
   • Optimizing Context Window for Long Contracts
   • Styling, Themes, and Workflow Templates
   • Updating AirgapAI and Your Datasets
7. Troubleshooting and Support
8. Conclusion and Next Steps

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1. Introduction to AirgapAI and the Power of Local Artificial Intelligence

Before we dive into the specifics of using AirgapAI for contract review, let's establish a foundational understanding of Artificial Intelligence and why a local, on-device solution is a game-changer for sensitive tasks like legal AI.

What is Artificial Intelligence (AI)?

At its core, Artificial Intelligence is a broad field of computer science that enables machines to perform tasks typically requiring human intelligence. This includes learning, problem-solving, decision-making, and understanding language. Within AI, "Generative AI" is a subset that can create new content, such as text, images, or code.

One of the most impactful applications of Generative AI is the Large Language Model (LLM). An LLM is a type of AI algorithm that uses deep learning techniques and massively large datasets to understand, summarize, generate, and predict new content. Think of it as a highly sophisticated digital assistant that can "read" and "write" with impressive fluency. Common examples you might have heard of are cloud-based solutions like ChatGPT or Microsoft Copilot.

Why Local AI for Contract Review?

While cloud-based LLMs are powerful, they come with significant concerns, especially in sensitive domains like legal and financial services:

• Data Sovereignty and Security: When you upload a document to a cloud AI, that data typically leaves your control and is processed on external servers. For confidential contracts, Personally Identifiable Information (PII), or proprietary clauses, this is an unacceptable risk. Local AI means your data stays on your device, within your secure network, never touching the public internet. This ensures complete data sovereignty and eliminates the risk of external network breaches.
• Privacy Protection: Cloud-based services often collect and use your input data to further train their models. This means your confidential legal documents could inadvertently become part of the AI's general knowledge base, a severe privacy violation. With local AI, your interactions and data remain entirely private to your device. AirgapAI runs "air-gapped," meaning there is no network "in" or "out" for your data during processing.
• Cost Efficiency: Cloud LLMs typically operate on a subscription model, often with additional "token" charges for usage, leading to unpredictable and high costs. AirgapAI offers a one-time perpetual license, significantly reducing the Total Cost of Ownership (TCO) compared to competitors, sometimes costing as little as one-tenth to one-fifteenth of alternatives.
• Mitigation of AI Hallucinations: LLMs, particularly when trained on broad public data, can sometimes "hallucinate" – providing confidently false or nonsensical information. For legal work, accuracy is paramount. AirgapAI, combined with its patented Blockify technology, dramatically reduces hallucinations by grounding the AI in your trusted, curated data.

Introducing AirgapAI

AirgapAI, developed by Iternal Technologies, is a groundbreaking, 100% local, on-device Generative AI chat assistant. It’s designed to bring the power of LLMs directly to your workstation, making AI deployment fast, secure, and cost-effective. Powered by Intel Artificial Intelligence Personal Computers (AI PCs), AirgapAI leverages the Central Processing Unit (CPU), Graphics Processing Unit (GPU), and Neural Processing Unit (NPU) of your device for optimal performance and energy efficiency.

For legal AI and contract review, AirgapAI offers:

• Absolute Data Security: Your contracts and proprietary legal playbooks never leave your computer.
• Unparalleled Accuracy: Through our patented Blockify technology, AI responses can achieve up to a 7,800% improvement in accuracy, virtually eliminating hallucinations by providing a single source of truth from your data.
• Affordable Access: A one-time perpetual license means predictable costs, empowering widespread AI adoption without budget strain.
• Business-Focused Workflows: Tailored tools like "Entourage Mode" and customizable quick-start workflows simplify complex tasks, allowing your team to focus on strategic insights.

This guide will now detail how to harness these capabilities for highly efficient and secure contract review.

2. System Requirements and Installation

To ensure a smooth experience with AirgapAI, your system needs to meet certain specifications. Even if you know nothing about AI, think of these requirements like checking if your car needs gasoline or diesel – it’s just about making sure the engine runs optimally.

Minimum and Recommended System Specifications

AirgapAI is designed to run efficiently on modern Personal Computers (PCs), especially those designated as AI PCs. The better your hardware, the faster and more capable your AI experience will be.

Component	Minimum	Recommended
Central Processing Unit (CPU)	8 Cores	8 Cores / 16 Threads or better
Random Access Memory (RAM)	16 Gigabytes (GB)	32 Gigabytes (GB) or more
Disk Drive (Solid State Drive (SSD))	10 Gigabytes (GB) free space (Solid State Drive (SSD))	50 Gigabytes (GB) Non-Volatile Memory Express (NVMe)
Graphics Processing Unit (GPU) (Integrated or Dedicated)	4 Gigabytes (GB) Virtual Random Access Memory (VRAM) (2024 or Newer)	8 Gigabytes (GB) Virtual Random Access Memory (VRAM) or more
Operating System (OS)	Windows 11	Latest patches for Windows 11

Permissions: You will need standard security permissions to install applications on your computer. If you typically require IT support to install software, you might need their assistance here.

Downloading and Installing AirgapAI

Installing AirgapAI is designed to be as straightforward as installing any other common desktop application, like Microsoft Word or Excel.

1. Obtain the Installer Package: Your IT department or the Iternal Technologies team will provide you with a link to download the latest compressed folder (ZIP archive) of the AirgapAI installer.
   • Example File Name: AirgapAI-v1.0.2-Install.zip
2. Save the File: Save this compressed folder to a convenient location on your computer, such as your "Downloads" folder or a dedicated folder you can easily access.
3. Extract the Files: Locate the downloaded AirgapAI-v1.0.2-Install.zip file.
   • Right-click on the file.
   • Select "Extract All..." from the context menu.
   • A window will appear asking you to choose a destination for the extracted files. The default location (a new folder with the same name as the compressed folder inside your "Downloads" folder) is usually fine.
   • Click "Extract."
4. Open the Extracted Folder: Once the extraction is complete, a new folder will open automatically, containing the installation files. If it doesn't, navigate to the location where you extracted the files and open the AirgapAI-v1.0.2-Install folder.
5. Run the Installer: Inside the extracted folder, you will find the installer application.
   • Double-click AirgapAI Chat Setup.exe.
6. Follow the Installation Wizard: A series of prompts will guide you through the installation process.
   • Accept License Agreement: Read and accept the software license agreement.
   • Create Desktop Shortcut: We recommend selecting the option to "Create Desktop Shortcut" for easy access later.
   • Click "Install."
   • Click "Finish" once the installation is complete.
7. Security Prompts: Your Operating System's (OS) security features (like SmartScreen or Gatekeeper) might display a warning because AirgapAI is a new application. If prompted, choose "Allow" or "Run anyway" to proceed with the installation.

Congratulations! AirgapAI is now installed on your computer.

First-Launch Onboarding Wizard

The first time you launch AirgapAI, it will guide you through a simple onboarding process to set up your user profile, choose a chat style, and upload the necessary Large Language Models (LLMs) and datasets.

1. Launch AirgapAI: Use the new desktop shortcut or find "AirgapAI Chat" in your Start Menu.
2. Start Onboarding: AirgapAI will detect that no models are configured and prompt you to "Start Onboarding." Click this button.

2.2.1 Profile & Chat Style

1. Enter Display Name: You can enter your name or a preferred display name. The default is "You."
2. Pick a Preferred Chat Style: AirgapAI offers various visual themes (e.g., Iternal Professional, Casual, Dark Mode, Retro). Choose one that appeals to you. You can change this later in settings.
3. Click "Next."

2.2.2 Uploading the Core Large Language Model (LLM)

The Core LLM is the "brain" of your AI assistant. AirgapAI allows you to choose from several pre-quantized open-source models, which are optimized to run efficiently on your hardware.

1. On the "Models" screen, you'll see a section for "Available Models." It will be empty initially.
2. Click "Upload Model."
3. A file browser window will open. Navigate to the /models/ folder within the extracted installer folder (the same one you just installed from).
4. Choose a Model: Select an LLM suited to your hardware.
   • Llama-1B (for 2024 Integrated Graphics Processing Unit (iGPU) or lower-power systems)
   • Llama-3B (for Integrated Graphics Processing Units (iGPUs) from 2025 or dedicated Graphics Processing Units (GPUs))
   • Note: For contract review, a more powerful model like Llama-3B is generally recommended if your hardware supports it, for better understanding of nuanced legal language.
5. Click "Save." The upload will take approximately 30 seconds.

Note for IT Administrators: Large Language Models can be managed and updated by accessing the folder located at %appdata%\IternalModelRepo (e.g., C:\Users\John\AppData\Roaming\IternalModelRepo).

2.2.3 Uploading an Embeddings Model

An Embeddings Model is critical for AirgapAI's Retrieval-Augmented Generation (RAG) capabilities, which we will use extensively for contract review. It helps the AI understand the meaning of your data.

1. Still on the onboarding page, click "Upload Embeddings Model."
2. Navigate back to the /models/ folder from your extracted installer.
3. Select Jina-Embeddings.zip.
4. Click "Save." This upload also takes about 30 seconds.

Note for IT Administrators: Embeddings Models can be managed and updated by accessing the folder located at %appdata%\IternalModelRepo (e.g., C:\Users\John\AppData\Roaming\IternalModelRepo).

2.2.4 Adding Sample or Custom Datasets

Datasets are the foundation of accurate legal AI. They are where AirgapAI stores the information it uses to answer your questions accurately, instead of relying solely on its general training. For contract review, this is where your policy playbooks will live.

1. Click "Upload Dataset."
2. Navigate to the /datasets/ folder from your extracted installer.
3. Select CIA_World_Factbook_US.jsonl. This is a sample dataset to get you started.
4. Click "Save."

Note for IT Administrators: Datasets can be updated by modifying the contents of the files saved within %appdata%\airgap-ai-chat\CorpusRepo (e.g., C:\Users\John\AppData\Roaming\airgap-ai-chat\CorpusRepo). Updates can be pushed to local devices via standard image management applications like Microsoft Intune.

Tip: While you can upload Word, Portable Document Format (PDF), or Text (TXT) files directly, for optimal legal AI accuracy, converting larger bodies of text into Blockify format is recommended. Blockify will be discussed in detail next.

2.2.5 Finish Onboarding

1. Verify that all three items (Core LLM, Embeddings Model, and at least one Dataset) are successfully added.
2. Click "Continue."
3. AirgapAI Chat will now boot with your selected configurations.

2.2.6 Initial Model Benchmarking

On the first model launch, AirgapAI Chat will offer to "Benchmark" your hardware. This process helps the application understand your computer's capabilities and set appropriate limits, such as the "context window" (how much information the AI can process at once).

1. Click "Run Benchmark" (highly recommended).
2. This process takes approximately 2 minutes and measures your system's "tokens per second" and inference speed.
3. You can skip this step, but your context size will remain at a conservative 2,000 tokens until a benchmark is completed.
4. After benchmarking, you can change the token context window by visiting "Settings > Chat" and dragging the slider to the desired size. For detailed contract review, a larger context window is beneficial.

3. Understanding Blockify: Your Data's Single Source of Truth

For legal AI and precise contract review, the quality and structure of your data are paramount. This is where Iternal Technologies' patented Blockify technology becomes indispensable. Blockify isn't just a data ingestion tool; it's a data management solution designed to create a "single source of truth" that drastically improves the accuracy of Large Language Models (LLMs).

What is Blockify?

Imagine you have thousands of legal documents, policies, and internal guidelines—a true "firehose" of information. Blockify takes this vast, often messy, data and transforms it into concise, highly organized, and optimized "blocks" of information. These blocks are structured in a way that LLMs can understand and query with extreme precision.

Each "block" is a modular unit of knowledge containing:

• A Name: A descriptive title (often displayed in blue within Blockify's interface) that quickly identifies the content topic. For legal documents, this could be "Force Majeure Clause" or "Indemnification Policy."
• A Critical Question: The key query a user might ask related to this piece of information (e.g., "What are our company's policies on data breach notification?"). These are typically bold and italicized.
• A Trusted Answer: A distilled, accurate, and approved response to the critical question, avoiding the ambiguities or outdated information that often plague large corporate data stores. These are usually in light gray text.

Why Blockify is Crucial for Accurate Legal AI

When an LLM is asked a question, it typically tries to generate an answer based on its vast training data. Without Blockify, if you feed raw, unstructured contracts into an AI, you might face several challenges:

• High Hallucination Rate: Traditional Retrieval-Augmented Generation (RAG) systems often struggle with enterprise data because it's usually disorganized, redundant, and conflicting. This leads to a high hallucination rate (e.g., one in every five queries resulting in an incorrect answer).
• Difficulty in Pinpointing Information: The AI might struggle to extract the exact clause or policy you need from a long, complex document.
• Outdated Information: Without a clear data lifecycle, an AI might pull from an old version of a policy.

Blockify solves these problems by:

• Data Distillation: It condenses massive data sets, reducing their original size by as much as 97.5% (down to 2.5% of the original). This makes the data more manageable and efficient for the AI to process.
• Accuracy Improvement: By creating a structured "single source of truth" with curated questions and trusted answers, Blockify can improve the accuracy of LLMs by an astounding 7,800% (or 78 times). This virtually eliminates hallucinations and ensures the AI provides reliable, legally sound information.
• Metadata for Governance: Each block is tagged with rich metadata, including classification, permissions, and classification levels. This is essential for zero-trust environments and ensures that only authorized users can access sensitive legal information.
• Human-in-the-Loop Review: After ingestion, blocks are sent for a quick human review. This step allows your legal or compliance team to validate, update, or approve messaging, ensuring that outdated content (e.g., a policy from 2019) is flagged before it impacts AI responses.

Creating Your Policy Playbook Dataset with Blockify

For effective contract review, your "policy playbook" is a curated collection of internal legal standards, compliance guidelines, preferred clauses, and risk thresholds. Blockify enables you to transform these raw documents into an AI-ready dataset.

While a local, on-device version of Blockify will be integrated into AirgapAI in Q3 2025, for now, your Iternal Technologies account manager or support team will assist you in Blockifying your core legal documents.

The Blockify Process (as guided by Iternal Technologies):

1. Gather Your Documents: Collect all relevant legal documents, internal policies, standard operating procedures, previous contract review summaries, and any other data you consider part of your "policy playbook." Blockify supports various file formats, including text, HTML, Portable Document Format (PDF), Microsoft Word, Microsoft PowerPoint, and even extracts still frames or transcribes audio from video content.
2. Organize for Best Results: For optimal output, curate your data into relevant categories (e.g., specific contract types, business units, or legal domains). This helps leverage Blockify's hierarchical metadata framework.
3. Ingestion and Distillation: Iternal Technologies will use Blockify to ingest your documents. The system automatically processes the data, identifies key concepts, and begins condensing them into "blocks" of information, complete with suggested critical questions and trusted answers.
4. Human Review and Refinement: Your team will review the automatically generated blocks. This is where you ensure accuracy, update any outdated content, refine the critical questions, and polish the trusted answers to reflect your organization's precise legal positions. This step is crucial for maintaining the "single source of truth."
5. Dataset Creation: Once reviewed and approved, these refined blocks are compiled into a highly accurate, AI-optimized dataset that can be loaded into your AirgapAI application.
6. Updating Datasets: As new legal documents are generated or policies evolve, these can be Blockified and the updated datasets can be pushed to your local AirgapAI devices via Microsoft Intune or similar image management applications.

Once your policy playbook is Blockified and loaded into AirgapAI, you'll have a powerfully accurate legal AI assistant right on your desktop.

4. AirgapAI for Legal AI: A User Interface Tour

Now that AirgapAI is installed and your initial models and datasets are loaded, let's familiarize ourselves with the application's interface. This is where you'll interact with your legal AI assistant for contract review.

Navigating the AirgapAI Application

The AirgapAI interface is designed to be intuitive and similar to other chat applications you might be familiar with, but with powerful underlying capabilities.

1. Chat Window (Central Panel): This is your primary interaction area. You'll type your questions (prompts) here, and the AI's responses will appear above.
2. Workflow Bar (Below Chat Window): This bar contains "Quick Start" workflows. These are pre-configured prompts and settings designed to streamline common tasks. For legal AI, you might find or create workflows for "Contract Summary," "Clause Identification," or "Risk Assessment."
3. Sidebar (Left Panel):
   • New Chat: Click this to start a fresh conversation.
   • Chat History: Your previous conversations are listed here, allowing you to easily revisit them.
   • Datasets: This is crucial for contract review. You'll see a list of your available datasets, including your Blockified policy playbook. You can toggle these "ON" or "OFF" to ensure the AI uses the relevant data for its responses.
   • Settings (Gear Icon): Access this for advanced configuration, including model management, appearance, and benchmarking.
   • Search: Find specific conversations in your chat history.

Model and Dataset Management for Legal Workflows

For effective legal AI, you'll want to ensure you're using the right models and datasets.

• Selecting Your LLM: Go to Settings > Model Settings. Here, you can see your uploaded LLM (e.g., Llama-3B). If you have multiple models, you can switch between them. For complex contract review, you'll want the most capable model available on your system.
• Managing Datasets: In the left sidebar, under "Datasets," ensure your Blockified "Policy Playbook" (or similar name) dataset is toggled "ON" when performing contract review. When you ask a question, the AI will prioritize answers from your active datasets, leveraging Retrieval-Augmented Generation (RAG).
  • If you need to upload additional contracts or policies as raw documents (before Blockify integration in Q3 2025), you can do so here. However, remember Blockify offers superior accuracy.
• Role-Based Segmentation: AirgapAI is designed for enterprise use. The application can be tied to a user's login profile, allowing different users on the same device to have isolated experiences and access to role-specific datasets. This is configured by IT during the standard image and provisioning process, ensuring that, for example, a legal team member has access to the full policy playbook, while a sales team member might only access approved sales collateral.

5. Step-by-Step Workflow: Analyzing Contracts and Flagging Risk

Now, let's apply AirgapAI to a practical legal AI workflow: analyzing a contract and flagging potential risks by comparing it against your Blockified policy playbook. This process ensures your contract review is thorough, accurate, and secure.

Scenario: Reviewing a Vendor Contract for Compliance

You've received a new vendor contract and need to quickly identify any clauses that deviate from your company's standard policies or introduce undue risk.

Step 1: Preparing Your Contract for Ingestion

Before uploading, ensure your contract is in a compatible digital format. AirgapAI natively ingests common document types:

• Portable Document Format (.pdf)
• Microsoft Word Document (.docx)
• Text Document (.txt)
• HyperText Markup Language (.html)
• Microsoft PowerPoint (.pptx)
• Image files (for text extraction)

Best Practice: For multi-page contracts, a clear, text-searchable PDF or Word document is ideal. If you have a scanned image-based PDF, ensure it has been Optical Character Recognition (OCR) processed so the text is selectable.

Step 2: Uploading Your Contract for Analysis

AirgapAI allows you to easily bring your contract into the chat interface for analysis. Remember, because this is a local AI, your contract remains entirely on your device.

1. Start a New Chat: Click "New Chat" in the left sidebar to ensure a fresh conversation.
2. Upload the File:
   • Drag-and-Drop: The simplest method is to click and drag your contract file directly from your computer's file explorer onto the AirgapAI chat window. A visual indicator will confirm the file is ready to be processed.
   • Click the Paperclip Icon: Alternatively, click the paperclip icon (📎) at the bottom left of the chat input box. A file browser window will appear. Navigate to your contract file, select it, and click "Open."
3. File Ingestion: AirgapAI will embed the document's content, making it ready for the LLM to process. This usually happens very quickly.

Step 3: Engaging with Your Policy Playbook Dataset

To compare the contract against your internal policies, you need to ensure your Blockified policy playbook dataset is active.

1. Activate Your Dataset: Look at the "Datasets" section in the left sidebar. Ensure the toggle switch next to your "Policy Playbook" (or similarly named) dataset is set to "ON." It will glow green when active. This tells AirgapAI to use the curated information from your internal policies for its responses.

Step 4: Extracting Key Terms and Identifying Variances

Now, let's use AirgapAI to perform the contract review. You'll craft prompts (questions or instructions) to guide the AI.

1. Initial Overview and Key Terms Extraction:

   • Prompt: Summarize this document and identify the five most critical clauses from a risk perspective. Use bullet points.
   • Observation: The AI will process the uploaded contract and provide a summary, highlighting potentially critical areas based on its understanding of legal language. This gives you a high-level overview.

2. Specific Clause Comparison (Using Your Policy Playbook):

   • Let's assume your policy playbook contains detailed information on "Indemnification" and "Limitation of Liability" clauses.
   • Prompt 1 (Indemnification): Based on the uploaded contract and our company's policy playbook, does the indemnification clause in this contract align with our standard requirements? If not, identify specific deviations and propose compliant wording from our playbook.
   • Observation: AirgapAI will query both the contract and your active policy playbook. It will fetch relevant "IdeaBlocks" from your playbook (e.g., "Indemnification Standard Clause") and then compare it to the contract's language. The response will cite your playbook where appropriate and clearly outline any discrepancies.
   • Prompt 2 (Limitation of Liability): Review the 'Limitation of Liability' clause in the uploaded contract. Compare it against our company's acceptable liability thresholds documented in our policy playbook. Flag any instances where the contract proposes a liability limit below our minimum acceptable standard, providing the exact language from our playbook.
   • Observation: The AI performs a similar comparison, this time focusing on financial or operational risk thresholds. It will identify if the contract's proposed liability limits are too low (from your company's perspective) and suggest the language from your playbook.

3. Identifying Unusual or Missing Clauses:

   • Prompt: List any unusual or missing clauses in this contract compared to typical vendor agreements, specifically those that might introduce unforeseen risks not covered by our standard policy playbook.
   • Observation: This prompt leverages the LLM's general knowledge of contracts, combined with the context of your playbook, to flag anything that seems out of place or absent that should be there, based on best practices.

Step 5: Leveraging Entourage Mode for Multi-Perspective Risk Assessment (The "Risk Heatmap" Prompt)

"Entourage Mode" is a unique AirgapAI feature that allows you to interact with multiple AI personas simultaneously, each drawing from potentially different datasets or configured with different expertise. This is incredibly powerful for contract review, as it allows you to get immediate insights from different "expert" viewpoints, simulating a cross-functional legal team.

Setting Up Personas (One-time, or by IT):

For this example, imagine you've configured three personas in Advanced Settings > Personas:

• Legal Counsel Persona: Tuned with expertise from your comprehensive legal policy playbook.
• Procurement Specialist Persona: Tuned with expertise on vendor terms, cost implications, and supplier relationship management policies.
• Compliance Officer Persona: Tuned with expertise on regulatory requirements, data protection (e.g., General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPAA)), and industry-specific compliance policies.

1. Select Entourage Mode Workflow: From the "New Chat" page, select an "Entourage Mode" quick start workflow.
2. Configure Personas: Ensure your Legal Counsel, Procurement Specialist, and Compliance Officer personas are active.
3. The "Risk Heatmap" Prompt:
   • Prompt: I am reviewing a new vendor contract. Please analyze the uploaded contract and provide your key risk findings and recommendations. The Legal Counsel should focus on indemnification and termination clauses. The Procurement Specialist should assess payment terms and service level agreements. The Compliance Officer should highlight data privacy and regulatory adherence. Present your findings in short, actionable sentences, followed by a recommendation for mitigation or negotiation. Identify high-priority risks with a 'HIGH RISK' tag.
   • Observation: You will see activity indicators as each persona "types" its response. AirgapAI will then present a consolidated view of each persona's findings, giving you a multi-perspective "risk heatmap" for your contract.
     • The Legal Counsel might highlight a broad indemnification clause that shifts too much liability.
     • The Procurement Specialist might flag payment terms that don't match standard invoicing cycles.
     • The Compliance Officer might point out missing data processing addendum language.
   • Each response will be tailored to its persona's focus, providing a comprehensive risk analysis from various critical perspectives.

Step 6: Generating an Executive Summary

After performing your detailed analysis and identifying key risks, you'll often need a concise executive summary for stakeholders.

1. Prompt: Based on our previous analysis of the vendor contract, including the multi-persona risk assessment, generate an executive summary for our senior leadership. Highlight the three most critical risks identified, their potential impact, and recommended next steps or negotiation points. Keep it to one paragraph.
2. Observation: AirgapAI will synthesize all the information from the current chat session, providing a distilled summary that focuses on the most important risks and actionable insights, ready for presentation.

6. Advanced Configuration and Continuous Improvement

AirgapAI offers several advanced features that can further enhance your legal AI and contract review capabilities.

Optimizing Context Window for Long Contracts

The "context window" refers to the amount of text (measured in "tokens") that the LLM can consider at any one time when generating a response. For long, complex contracts, a larger context window is crucial.

1. After completing the initial benchmark (as described in Section 2.2.6), go to Settings > Model Settings.
2. Locate the "Max Tokens" slider.
3. Drag the slider to increase the maximum number of tokens the LLM can process. You can set this up to 32,000 tokens or more, depending on your system's hardware capabilities.
   • Note: A larger context window requires more VRAM from your Graphics Processing Unit (GPU) and RAM from your system. Adjust based on your benchmark results and system performance.

Styling, Themes, and Workflow Templates

• Customizing Appearance: Go to Settings > Appearance to switch between predefined themes or even build custom Cascading Style Sheets (CSS) for a personalized look.
• Workflow Templates: For repetitive tasks in contract review, you can create or edit "Workflow Templates."
  1. Go to Settings > Workflows.
  2. Here, you can add or edit prompt chains, ideal for IT to pre-load company-specific legal tasks like "Standard Clause Check" or "Data Privacy Impact Assessment (DPIA) Review." This ensures consistency and saves time.

Updating AirgapAI and Your Datasets

Maintaining an up-to-date AI is essential for staying current with legal standards and product enhancements.

• Application Updates: AirgapAI features a built-in Update Manager. You can configure it to receive updates from a "Local Server" (managed by your IT department for secure enterprise deployment) or from the "Cloud" (for general updates).
  • You can change the update file server location by editing the updaterConfig.json file found at C:\Users\John\AppData\Local\Programs\AirgapAI Chat\resources\auto-updater\updaterConfig.json.
• Dataset Updates: As your legal policies evolve or new contracts set precedents, your Blockified datasets will need updating. Your IT team can push new versions of these datasets to your local AirgapAI devices via image management applications like Microsoft Intune.

7. Troubleshooting and Support

Even with the most user-friendly software, questions and minor issues can arise. Here's how to get support for AirgapAI.

• Online Enablement Page: Access our online enablement page (available soon) which includes step-by-step videos, Frequently Asked Questions (FAQs), user guides, and troubleshooting tips.
• Product Team Support: For additional questions, technical issues, or personalized assistance, you can contact the Iternal Technologies product team directly at support@iternal.ai.
• Training: We offer a 30-minute introductory demo and can arrange personalized training sessions as an add-on service. Our customer success team is also available for follow-up calls and additional workshops after initial deployment, ensuring you maximize AirgapAI's potential for legal AI and contract review.

8. Conclusion and Next Steps

You've now completed a comprehensive guide to using AirgapAI for secure and accurate contract review. You've learned how to install the application, understand the power of Blockify in creating a trusted legal knowledge base, and navigate the workflow to analyze contracts, flag risks, and generate concise summaries—all while keeping your sensitive data 100% on your device.

AirgapAI offers a swift Artificial Intelligence win, robust cost savings, unparalleled data security, and virtually eliminates all Artificial Intelligence hallucinations—all critical in today’s challenging legal and business landscape. Our patented Blockify technology improves Large Language Model accuracy by an astounding 78 times, making your legal AI trustworthy and reliable.

Ready to transform your contract review process and protect your confidential legal data?

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