AI contract readers: what you need to know

AI
July 24, 2025
4
min
Contracts are at the heart of every business deal, but reviewing them is often slow, repetitive, and resource-intensive. That’s changing - and fast.

Thanks to AI contract readers, legal and commercial teams can now review, understand, and manage contracts in a fraction of the time. These tools use artificial intelligence to read contracts the way a human lawyer would—only faster, more consistently, and at scale.

Whether you're reviewing NDAs, triaging vendor agreements, or preparing for M&A due diligence, AI contract readers help surface key terms, flag risks, and simplify legal language so teams can move faster with confidence.

In this guide, we’ll explore what AI contract readers are, how they work, where they add the most value, and how platforms like Juro are helping in-house legal teams streamline contract review from end to end.

What is an AI contract reader?

An AI contract reader is a software tool that uses artificial intelligence (AI) to read legal contracts the way a human lawyer would, but faster.

At a basic level, it can:

  • Highlight key terms like dates, payments, and responsibilities
  • Spot missing or risky clauses
  • Summarize the contract in plain English
  • Help teams compare contracts to a standard template or “playbook”
  • Extract and capture key contract metadata

When are AI contract readers typically used?

Use Case Description
Pre-signature Review Accelerate deal cycles by automating NDA and vendor contract review.
Post-signature Analysis Extract metadata for compliance audits, renewals, and risk monitoring.
M&A Due Diligence Review hundreds of contracts quickly during transactions.
Contract Migration Move legacy contracts into a CLM platform by extracting and mapping key terms.

How AI contract readers work

An AI contract reader works by using a combination of natural language processing (NLP), machine learning (ML), and sometimes large language models (LLMs) to interpret and extract meaning from legal documents. Here's a detailed step-by-step breakdown of how it works:

1. Reading the contract

The first step is simply getting the content into the system. Whether your contract is a Word document, a PDF, or even a scanned copy, the AI contract reader prepares it for analysis.

  • It captures all the text in the contract.
  • It organises that text into a logical format—like sections, paragraphs, and headings.

Think of it as converting your contract into a format the system can “understand.”

2. Understanding the structure

Once the content is readable, the tool scans for common patterns in contracts. These patterns could include:

  • Headings like Termination, Confidentiality, or Payment Terms
  • Recurring phrases or formats (e.g. dates, amounts, obligations)

The AI contract reader identifies and labels different sections to help users navigate the contract more easily.

3. Surfacing key information

Next, the system picks out the most important details contained within the contract, also known as the contract data or values. These might include:

  • Names of the parties involved
  • Key dates (like start, end, renewal, or termination dates)
  • Responsibilities, deliverables, and payment terms
  • Jurisdiction or governing law
  • Any references to penalties, warranties, or liabilities

This stage helps surface the core terms and obligations that matter most, and most contract readers or AI extraction tools will allow you to customize which datapoints are pulled (and when).

4. Highlighting deviations and red flags

Many AI contract readers are designed to support and reinforce internal policies or guidelines, sometimes referred to as a contract playbook, or a contract management policy

Depending on what your playbook contains, the tool might:

  • Flag clauses that are missing or unusual
  • Point out differences from your standard templates
  • Highlight language that could be risky or needs attention

This makes it easier to enforce consistency and compliance without manually comparing documents. It also acts as a contract review checklist, ensuring your usual checks and balances are followed.

5. Making the terms easier to understand

Some tools will help simplify the legal jargon by:

  • Summarising key parts of the contract in plain language
  • Providing quick explanations of complex sections
  • Answering questions like “When does this contract renew?” or “Who’s responsible for what?”

This helps teams across sales, procurement, HR and finance engage with contracts more confidently, even if they don’t have a legal background.

Debunking the jargon…

Term What it REALLY means
Natural Language Processing (NLP) The AI’s way of reading and understanding human language.
Machine Learning The system gets smarter by learning from more contracts over time.
LLMs (Large Language Models) Super-powered AIs like ChatGPT that understand and generate text with context.
Clause extraction Pulling out parts of the contract like “Termination” or “Confidentiality” to make review easier.
Risk scoring A way to rank contracts (or parts of them) based on how risky they are, based on predefined rules or patterns.

Benefits of using an AI contract reader

AI contract readers are more than just time-savers…they’re business enablers. Here are some of the key benefits legal and business teams can expect:

  • Speed and efficiency: AI can analyze contracts in minutes, freeing legal teams from time-consuming first-pass reviews and accelerating deal cycles.
  • Consistency and accuracy: Unlike manual reviews that vary by reviewer, AI applies rules and templates consistently, reducing the risk of overlooked terms or clauses.
  • Improved risk mitigation: Flagging red flags, deviations, or missing terms automatically allows teams to intervene early, before problems arise.
  • Better collaboration between teams: With simplified contract summaries and clear metadata extraction, non-legal teams can understand and act on contracts independently—whether it’s sales checking renewal terms or procurement tracking obligations.

How Juro can help with AI contract reading

Juro’s AI makes contract reading and review effortless for in-house legal and commercial teams—combining speed, structure, and simplicity in one intuitive platform.

From the moment a vendor or third-party contract is uploaded, Juro extracts key terms, clauses, and metadata automatically. It transforms static documents into structured, searchable data, giving teams instant visibility into obligations, risks, and opportunities without lifting a finger.

Unlike general-purpose AI tools, Juro’s contract data extraction is trained specifically for legal workflows. You don’t just get text pulled from contracts, you get reliable, contextual insights you can actually use.

  • Dates, parties, payment terms, jurisdictions, and more are auto-identified
  • Custom smartfields and calculated values help drive reporting and decision-making
  • Contracts become immediately searchable, sortable, and ready for triage
Juro lets you apply your tailored playbooks to help the AI locate the most relevant information, and deliver results that are instantly actionable for your business.

Juro’s AI doesn’t just read contracts—it helps you enforce your policies at scale. You can define your own rules and fallback positions, so every review aligns with your standards.

When reviewing third-party paper or internal templates, Juro’s contract review agent will:

  • Flag missing or non-compliant clauses based on your playbook
  • Suggest alternative language that meets your risk threshold
  • Explain the reasoning behind each redline, helping teams understand why it matters
Article content
Juro's AI review agent redlines contracts and delivers insights wherever your team work, including from Slack.

In short, Juro’s AI gives you a faster, smarter, and more scalable way to manage contracts, without adding headcount or complexity.

As you plan your legal tech stack for 2025 and beyond, the right contract review software won’t just speed up legal work. It will empower your entire business to move faster with confidence.

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Intelligent contracting is here.

Juro embeds contracting in the tools business teams use every day, so they can agree and manage contracts end-to-end - while legal stays in control.

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About the author

Sofia Tyson
Senior Content Manager at Juro

Sofia Tyson is the Senior Content Manager at Juro, where she has spent years as a legal content strategist and writer, specializing in legal tech and contract management.

Sofia has a Bachelor of Laws (LLB) from the University of Leeds School of Law where she studied the intersection of law and technology in detail and received the Hughes Discretionary Award for outstanding performance. Following her degree, Sofia's legal research on GDPR consent requirements was published in established law journals and hosted on HeinOnline, and she has spent the last five years researching and writing about contract processes and technology.

Before joining Juro, Sofia gained hands-on experience through short work placements at leading international law firms, including Allen & Overy. She also completed the Sutton Trust’s Pathways to Law and Pathways to Law Plus programs over the course of five years, building a deep understanding of the legal landscape and completing pro-bono legal volunteering.

Sofia is passionate about making the legal profession more accessible, and she has appeared in several publications discussing alternative legal careers.

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Intelligent contracting is here.

Juro embeds contracting in the tools business teams use every day, so they can agree and manage contracts end-to-end - while legal stays in control.

Book your demo