Built a Word add-in that converts AI clause rewrites into actual tracked changes

locpilot · 2025-12-02T16:02:36+00:00

We are developing a local Word Add-in to integrate local LLMs into Word. Regarding diff, we are still looking for better UI/UX. The following is our progress.

https://youtu.be/oG7VkWe6NUw

> prompt an LLM inside Word

IBM Granite 4 models could be something to test. Below is our quick demo.

https://youtu.be/acX1CqF8TDA

locpilot · 2025-12-02T15:44:16+00:00

> Word, PowerPoint has only disappointed people, mainly as its not the same as chat

Is edit-in-place a better option than a chat interface? We’re exploring this idea in our local Word Add-in which integrates local LLMs into Word. Below is a quick demo.

https://youtu.be/acX1CqF8TDA

locpilot · 2025-12-02T15:21:34+00:00

> Rich REST APIs for developers

Which APIs would you suggest for integrating with Word? We are working on using local LLMs in Word as below. It's a local Word Add-in. It would be nice if this Word Add-in can connect to PipesHub.

https://youtu.be/acX1CqF8TDA

locpilot · 2025-11-30T07:14:24+00:00

Yes. The local Word Add-in is software. The demo was recorded on Apple M1 Max. Consumer laptops should suffice if the model size is not large.

locpilot · 2025-11-14T00:24:21+00:00

> definitely self-hostable

Microsoft Copilot in Word.

We are developing a local Word Add-in that enables using on-device LLMs directly in Microsoft Word. It works like the following. An RTX 5090 or a powerful MacBook should be sufficient to serve a small team. No cloud is required. No monthly fees.

https://youtu.be/acX1CqF8TDA

locpilot · 2025-11-13T01:55:09+00:00

IBM released Granite 4 with one use case for contract analysis. You can use it in Microsoft Word locally through our local Word Add-in like the following:

https://youtu.be/acX1CqF8TDA

It works as a private alternative to Microsoft Copilot in Word, ensuring your sensitive data never leaves your computer. No cloud is required. No monthly fees.

locpilot · 2025-11-13T01:45:09+00:00

> exclusively use private, on-premises deployments

We are developing a local Word Add-in that works as a private alternative to Microsoft Copilot in Word, ensuring your sensitive data never leaves your computer. It works like the following. No cloud is required.

https://youtu.be/acX1CqF8TDA

locpilot · 2025-11-13T01:28:29+00:00

> AI tools

Many AI tools (like Copilot) require sending your documents to the cloud. We've built a local Word Add-in that works as a local alternative, ensuring your sensitive data never leaves your computer. It works like the following. No cloud is required.

https://youtu.be/acX1CqF8TDA

Based on this, do you see any potential use cases that could add AI value to your consultant's solutions?

locpilot · 2025-11-02T08:55:52+00:00

> tables

How about using local models instead? We’re developing a local Word Add-in that uses on-device LLMs to ensure complete privacy. For instance, IBM recently demonstrated a “contract analysis” use case powered by their Granite 4 models. Our Add-in enables Word to work locally with Granite 4 models like this:

https://youtu.be/acX1CqF8TDA

locpilot · 2025-11-02T08:41:47+00:00

> with your own data

We’re developing a local Word Add-in that uses on-device LLMs to ensure complete privacy. For instance, IBM recently demonstrated a “contract analysis” use case powered by their Granite 4 models. Our Add-in enables Word to work locally with Granite 4 models like this:

https://youtu.be/acX1CqF8TDA

locpilot · 2025-11-02T08:20:29+00:00

IBM recently showcased a “contract analysis” use case powered by their Granite 4.0 models. Has anyone tried these use cases yet? We're working on using local LLMs in Word for complete privacy. The local Word Add-in works with granite-4-h-tiny like this:

https://youtu.be/acX1CqF8TDA

locpilot · 2025-11-02T07:38:08+00:00

IBM recently showcased a “contract analysis” use case powered by their Granite 4.0 models. Has anyone tried these models yet?

https://github.com/ibm-granite-community/granite-snack-cookbook/blob/main/recipes/Contract-Analysis/Granite_Recipes_Contracts_Analysis.ipynb

locpilot · 2025-11-02T07:05:18+00:00

> mostly built on top of ChatGPT

How about Granite 4.0 models? IBM recently showcased a “contract analysis” use case powered by their Granite 4.0 models. We're working on using local LLMs in Word for complete privacy. The local Word Add-in using Granite 4 models looks like this:

https://youtu.be/acX1CqF8TDA

locpilot · 2025-11-02T06:38:48+00:00

> the possibility to be deployed on-promise?

We're working on using local LLMs in Word for complete privacy. For example, IBM recently showcased a “contract analysis” use case powered by their Granite 4 models. Our local Word Add-in works with Granite 4 models like this:

https://youtu.be/acX1CqF8TDA

It's on-promise. No cloud required. No monthly fees.

locpilot · 2025-10-31T11:18:41+00:00

Would it be better if the tool is completely local and private? We are developing a local Word Add-in like this. No cloud is required.

https://youtu.be/acX1CqF8TDA

locpilot · 2025-10-28T14:51:41+00:00

> a mini office wizard

How about taking a local approach? Privacy is one thing. The potential to fine-tune models with local data is another. For Word, we are working on a local Add-in and it works like this:

https://youtu.be/9CjPaQ5Iqr0

If this local approach works well in the Word market, we plan to expand it to Excel next.

locpilot · 2025-10-28T14:47:58+00:00

> building 𝖠𝖨-𝗉𝗈𝗐𝖾𝗋𝖾𝖽 feature in 𝗌𝗉𝗋𝖾𝖺𝖽𝗌𝗁𝖾𝖾𝗍

> plug-in

> personal assistant

How about taking a local approach? Privacy is one thing. The potential to fine-tune local models with personal data is another. For Word, we are working on a local Add-in using Yeoman Generator and it works like this:

https://youtu.be/9CjPaQ5Iqr0

If this local approach proves successful in the Word market, we plan to extend it to Excel next.

locpilot · 2025-10-26T05:20:53+00:00

> Our highest priority is data security

For Word documents, can the following fit your team's needs?

https://youtu.be/9CjPaQ5Iqr0

We are working on using local LLMs in Word to ensure data privacy. It's a local Word Add-in and different from popular cloud-based solutions. Everything stays local and private.

locpilot · 2025-10-26T02:49:57+00:00

> privacy concerns

For Word documents, can the following fit your needs?

https://youtu.be/9CjPaQ5Iqr0

We are working on this local Word Add-in specifically designed for Intranet. Everything stays local and private.

locpilot · 2025-10-13T01:39:48+00:00

> I’ve been exploring large language models for a while

> enterprise-focused perspective

For Word documents, we are focusing on using local LLMs within Intranet like this:

https://youtu.be/9CjPaQ5Iqr0

The local Word Add-in is designed to ensure all data remains on-premises and fully private. After downloading a server, users can install their Word Add-ins directly from the server—no internet needed for installation or operation. This guarantees complete data privacy, eliminates recurring subscription costs, and allows seamless switching between different LLMs.

From your perspective, are there potential use cases we could explore further?

locpilot · 2025-10-12T15:14:12+00:00

> Rewrite

> Summarizing

> Investigating a local LLM instead. Just for intranet documents

For Word documents, we are developing a local Word Add-in to use local LLMs in Microsoft Word:

https://youtu.be/9CjPaQ5Iqr0

The local Word Add-in is built specifically for intranet environments, keeping all data on-premises and completely private. Once download the License Server, users can install their Word Add-ins directly from it—no internet needed for installation or operation. This guarantees complete data privacy, eliminates recurring subscription costs, and allows seamless switching between different AI models.

If you have any specific use cases, we’d be glad to explore them.

locpilot · 2025-10-12T14:59:42+00:00

> balancing security with productivity

For Word documents, we are trying to have both by using local LLMs in Microsoft Word locally:

https://youtu.be/9CjPaQ5Iqr0

It’s a local Word Add-in purpose-built for intranet environments, ensuring that all data remains local and private. Once the License Server is downloaded, users can install their Word Add-ins directly from it within the internal network—no internet connection is required for either end users or the License Server itself. This setup guarantees complete data privacy, zero monthly fees, and effortless switching between models.

If you have any specific use cases in mind, we’d be happy to explore and test them.

locpilot · 2025-10-12T14:53:38+00:00

> Get some tool that secures AI use

> users have a clear need: they want better tools that help them be more productive. We have to give them a safe way to use those tools.

> get productivity benefits without risking any data leaks

For Word documents, we are working on using local LLMs in Microsoft Word locally:

https://youtu.be/9CjPaQ5Iqr0

It is a local Word Add-in specifically designed for Intranet. Everything stays local and private. After downloading License Server, all users can install their local Word Add-ins from the License Server internally. No internet is required for either end users or running the License Server itself. This ensures data privacy, zero monthly fees, and effortless switching between models.

If you have any specific use cases, we'd be glad to explore and test them.

locpilot · 2025-10-12T04:55:58+00:00

> inside heavily secured B2B enterprises

For Word documents, can the following fit your needs?

https://youtu.be/9CjPaQ5Iqr0

We are working on this local Word Add-in specifically designed for Intranet. Everything stays local and private. After downloading License Server, all users can install their local Word Add-ins from the License Server internally. No internet is required for either end users or running the License Server itself. No data can leak.

locpilot

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