What is Due Diligence Agents? Features, Pricing & Tutorial (2026)

The Problem Due Diligence Agents Solves

In modern corporate development, the volume of data in a virtual data room often outpaces the capacity of human review teams. Professionals frequently find themselves manually reconciling disparate reports from legal, financial, and commercial teams, where identical risks are identified in isolation without any effort to connect the dots across different contract types.

Corporate development teams often screen hundreds of companies annually but only close a fraction of those deals, meaning that time spent on manual document review represents a significant sunk cost. Furthermore, as deal timelines compress, the pressure to move faster without sacrificing accuracy leads to a high probability of missing critical cross-domain risks that could threaten a merger or acquisition.

Due Diligence Agents addresses this by running nine specific domain analysis modules in parallel across your document set. By automating the extraction and verification of key information, it ensures that risks flagged in a legal clause are correlated with relevant financial or technical disclosures. This allows your team to spend less time on manual search and more time on high-level strategic decision-making.

In this tutorial, you'll learn exactly how to use Due Diligence Agents — step by step.

How to Get Started with Due Diligence Agents in 5 Minutes

1. Ensure your environment has Python 3.12+ installed, as the framework requires the latest version for compatibility.
2. Install the necessary library from PyPI using your terminal to get access to the CLI tools.
3. Prepare your data room by organizing your M&A contracts into a single directory for processing.
4. Create a deal-config.json file, which acts as the instruction set for your analysis pipeline.
5. Execute the analysis command in your terminal to begin the automated scan and generate your first interactive HTML report.

How to Use Due Diligence Agents: Complete Tutorial

Step 1: Configuring Your Analysis Pipeline

The core of the tool is the deal-config.json file, which defines how the agents should interpret your documents. You will need to map your document paths and specify the scope of the nine domains you wish to analyze. By standardizing this input, you ensure that the model understands the context of the deal before it begins scanning for red flags.

Step 2: Performing a Rapid Red Flag Triage

If you are in the early stages of screening a target, you may not want to run a full analysis immediately. Use the --quick-scan flag to perform a high-level review of deal-killer categories. This provides a GREEN, YELLOW, or RED signal for your primary deal-killer categories, allowing you to quickly decide if a target warrants a deep-dive investigation.

Step 3: Generating and Interpreting Reports

Once you run the full pipeline, the tool creates an interactive HTML output. This report includes a visual risk heatmap, allowing you to navigate from a high-level summary directly down to the specific clauses that triggered a warning. Because the tool provides exact page, section, and quote citations, you can audit every finding against the source document without needing to perform manual searches.

Due Diligence Agents: Pros & Cons

Pros	Cons
Automates cross-referencing across nine domains.	Not a replacement for qualified professional advice.
Provides traceable citations (page/section/quote).	Requires technical setup and command-line usage.
Generates structured, drillable HTML/Excel reports.	Subject to potential AI hallucination risks.
Open-source and free to deploy.	Limited strictly to document-based analysis.

Due Diligence Agents Pricing: Free vs Paid

Due Diligence Agents is an entirely open-source project. This means the software itself is free to download and implement within your existing infrastructure. Unlike proprietary SaaS solutions that charge per document or per seat, this tool allows you to process as many deals as your local hardware or server resources can support.

Because it is open-source, there is no "paid" tier or locked feature set. However, organizations should account for the internal costs of technical implementation and the potential need for API keys if they choose to connect the agents to specific LLM providers. There are no hidden subscription fees, which makes it a highly efficient solution for lean teams.

👉 Check the latest pricing and documentation on the official Due Diligence Agents GitHub repository.

Who is Due Diligence Agents Best For?

For corporate development teams: This tool is ideal for teams that need to screen a high volume of prospective acquisitions. It allows them to filter out non-viable targets quickly without burning through their internal budget on expensive legal reviews.

For legal and financial advisors: These professionals can use the tool to accelerate the creation of initial advisor reports. By automating the data extraction, advisors can focus their time on higher-value risk analysis rather than manual document review.

For private equity firms: PE analysts managing large portfolios will find the cross-referencing capabilities especially useful. It helps in identifying recurring issues across multiple portfolio companies that might otherwise be missed in a standard manual review.

Alternatives to Due Diligence Agents

Common alternatives in the AI contract space include platforms like Spellbook or various specialized legal-tech RAG tools designed for law firms. While these tools offer polished interfaces for specific legal tasks, they often lack the cross-domain integration found here. Due Diligence Agents stands out because it treats due diligence as a holistic, multi-disciplinary exercise rather than a series of disconnected document searches.

Final Verdict: Is Due Diligence Agents Worth It?

If your team has the technical capacity to manage an open-source deployment, this tool is an efficient way to modernize the due diligence process. Its ability to connect risks across domains provides a level of insight that manual review often misses, significantly improving the speed and quality of preliminary deal memos.

📋 Disclosure: This is an independent tutorial based on Due Diligence Agents's publicly available documentation and website content as of May 17, 2026. GitNeural is not affiliated with, sponsored by, or endorsed by Due Diligence Agents or github.com. Pricing and features may have changed — always verify on the official Due Diligence Agents website.