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LawVu Lens is an AI-powered contract analysis tool that helps legal teams uncover insights, identify risks, and make faster decisions.

Lens identifies and extracts key clauses, obligations and metadata across your contract repository, making it easier to search, filter and compare agreements.

With Lens, you can:

An Administrator must enable Lens before you can use it.

Lens uses configurable categories to analyse contracts across your repository for specific business scenarios, such as change of control, force majeure, data breach obligations or price escalation.

You can choose a ready-made template provided by LawVu and use it as is, or edit it to meet your needs. Administrators can also create categories from scratch with help from the Lens assistant.

You can start with a LawVu template, use the Assistant to help build a category, or create one manually.

Each category has three layers:

A category can contain multiple provisions, and each provision can contain multiple data points.

Start by writing down the questions you want your contracts to answer. Then check whether a template covers them. LawVu’s legal engineering team has created templates for common questions, including:

You can use a template as it is or edit it to meet your needs. If no suitable template is available, create a category from scratch.

LawVu may update templates during the Early Access program to improve their quality. We’ll notify Early Access users when changes are made.

New categories created from the template library will always use the latest version. Categories you’re already using will not update automatically. To use an updated template, recreate the category from Select category.

Describe the questions you want answered and how you plan to use the results. Include whether you need to filter, compare or count contracts.

For example:

I want to understand the audit rights and obligations in my contracts. I’m interested in which party can request an audit, how frequently audits can take place and which audit methods are permitted. I want to filter the results by party and audit frequency.

The Assistant may ask follow-up questions, such as whether you want to capture rights and obligations for one party or both parties.

It then creates a category configuration based on your answers. You can continue chatting to add or refine provisions and data points.

Review the configuration, then run a sample extraction to check that it captures the information you need.

1. To create your own category, near select Categories, click on the + icon. Then, enter a name for the category and optionally a description:

2. Add provisions

A provision is a term you want to find in every contract, such as a 'right to audit'. A data point answers a question about a provision, for example, 'what is the notice period?' You can look for multiple provisions in a category, and each provision can have multiple data points.

3. Configure data points

Data points define the information Lens extracts from each contract. For every data point you create:

For example:

After configuring your data points, run a Sample Extraction against a small set of contracts to verify the results.

When the extraction is complete, review the Lens grid to confirm:

If necessary, return to the category settings to update prompts, modify standardized values, or adjust color coding. Color changes are reflected immediately in the grid. For any other changes, you can rerun your Sample Extraction to check the outputs.

If you add new data points - for example, a Notice Period field after stakeholder feedback - simply save the changes and rerun the sample extraction to populate the additional data.

Once you're satisfied with the sample results, the category is ready to be used across your contract repository, allowing Lens to extract and analyse the configured obligations consistently across all applicable contracts.

To start:

Optionally select a contract type to limit the scope.

2. Search for contracts using the search bar and select up to 25 contracts.

3. Click Run Sample to begin processing.

After approximately 6 minutes, the extracted data will be displayed in a high-performance grid.

Once your sample extraction is complete, you can run a full extraction.

1. Click Edit.

2. Click Start full extraction.

3. Choose which contracts to include, then start the extraction.

You’ll receive a notification when the extraction is complete.

A key point here is that once a full extraction has been run, a category can no longer be edited.

You can access the results from the Lens settings page or via the Lens icon in the left-hand navigation under Contracts.

The Lens grid provides a centralised view of all extracted clauses, metadata, and insights for each contract.

💡 Tip: The grid is divided into two sections: Contract Information on the left and Obligation Details on the right.

The columns on the left provide context about each contract, including:

This information helps you understand the broader context of the obligations identified by Lens. Much of it may already be familiar from your contract forms or AI extraction configuration.

As you scroll to the right, you'll see the obligation-specific columns populated from the Data Protection and Confidentiality category, beginning with Personal Data Breach Notification.

For certain obligations, Lens maps contract language to standardized values, making it easier to compare, filter, and sort contracts at scale.

For example, the Notification Timeline field may display values such as:

Imagine a scenario where a new privacy requirement is introduced in the UK and APAC. Your team needs to identify all contracts with confidentiality obligations that may not meet the new standard.

Traditionally, this would require opening and reading each agreement to locate relevant rights, definitions, or restrictions - a process that could take days or weeks.

Lens streamlines this entirely. By selecting the clause groups you want to analyze, the grid instantly displays only the relevant obligations, allowing your team to filter, compare, and interpret contract data efficiently.

The sections below walk you through how to customize and filter the Lens grid to support this type of review.

Lens lets you tailor the grid to show only the information relevant to your review.

To customize your view:

The grid updates instantly, showing only the selected information in a clean, focused layout.

Lens includes powerful filtering tools that help you refine results with precision:

Lens makes it simple to review and confirm extracted text:

All extracted data from the Lens grid can be exported to Excel for further analysis, reporting, or cross-team collaboration.

Any LawVu user can export extracted data from the Lens grid to Excel for further analysis, reporting, or cross-team collaboration. The export will include only the contracts that the user has permission to access.

If a value cannot be determined, the corresponding Excel cell will display Unclear. If no relevant value is found, it will display Not found.

Yes. Lens operates within LawVu's existing security environment and follows LawVu's established data handling and security standards. Contract data remains within the LawVu platform and is processed using secure, enterprise-grade AI services.

When Lens doesn't find a relevant obligation, there's no specific clause to show. The result reflects that no matching language was detected in the contract.

Currently, we support DOCX and PDF files. Citation highlighting is available for PDF files only. We’re working toward supporting all file types for the general release.

LawVu Lens uses Azure Document Intelligence and Azure OpenAI models to extract, analyze, and structure information from contracts. It is integrated directly into the LawVu platform and operates within existing LawVu user permissions, workflows, and platform controls.

LawVu follows a security-first approach to AI, including encryption in transit and at rest, role-based access controls, and operational monitoring and governance processes designed to support secure and reliable operation.

LawVu continuously evaluates new AI models and capabilities through a controlled review process that considers security, quality, performance, reliability, and customer impact. New models are adopted only when they meet LawVu standards and deliver clear customer value.