AI in Feith · Conversational

Chat with your records, and only your records.

Ask Me answers from the documents in your Feith instance, and only those. Unlike general AI tools that draw on the open web, every answer is grounded in records you hold and cited to the source, so it's traceable, not generated.

Request a walkthrough All six capabilities ›

0 Records copied out to answerYour model reads them inside your boundary

0 Answers from the open internetGrounded only in the records you hold

1 Permission model, inheritedIt sees exactly what the signed-in user sees

Every Answer cites its sourceClick a citation straight through to the record

The bigger picture

Your records already tell a story. Ask Me helps you hear it.

Across thousands of emails, memos, and case files runs a thread no one has time to follow: who decided what, when, and why. That story is already there, written into the record. Ask Me lets you ask for it in plain language and hear it back, every line traced to the document it came from.

The problem

A general chatbot doesn't know your records.

Teams already ask AI to summarize, find, and explain. But pointing a public tool at agency work goes wrong three ways at once, and none of them are defensible in a federal record.

Open-web answers aren't your records

General chatbots draw from the public internet. They can sound authoritative while citing nothing you own, or invent the answer outright.

Exports copy records out

Bolting AI onto an exported copy moves records into a second system, and out of the controls that protect them.

They ignore who may see what

A general tool has no notion of your permission model, so it can surface a record to someone who was never cleared to read it.

You need AI that reads only the records in front of it, sees only what the user is authorized to see, and cites every answer back to its source.

What it does

Answers grounded in records you can open.

Feith centralizes every record (emails, chat logs, documents, images, and audio) into one governed repository that's ready for AI. Ask Me reads that repository and nothing else: ask a question in plain language and it answers from the records you hold, with a citation on every claim.

Permission-aware retrieval: Ask Me authenticates as the user and sees only what they're allowed to see. Records outside their authorization never enter the context window.
A citation on every answer: each claim links to its source record, and the document ID opens it straight in Feith.
Ask from anywhere: right-click Chat on a folder, a search result, or a saved Collection and start asking. No setup, no model tuning.
Bring your own model: run Ask Me on GPT, Claude, an on-prem open model, or whatever your agency has authorized.
Bridges into AI Redaction: save an answer's records as a Collection, then route it through AI Redaction for FOIA, CUI, or PII review.

The answer is grounded in records your team has verified, not in someone else's blog post. Every claim cites a record you can open.

Worked example

Question

“Summarize our telework policy changes since 2023.”

Ask Me permission-aware

1,204records in scope

Permission filter · authenticates as you

7authorized records

Records outside the user's authorization never enter the context window.

Cited answer

A grounded summary: every claim traces to a record you can open in Feith.

HR-2023-114 HR-2024-061 MEMO-2025-08

How it works

It reads only your records, and only the ones you're cleared for.

Ask Me authenticates as the signed-in user, retrieves only the records that user is authorized to see, and reads them with a model you've approved running inside the same boundary. Nothing is exported; the answer comes back cited.

You ask in plain language

Ask Me

Authenticates as you · retrieves only authorized records

Your model reads them, inside your boundary (bring your own)

Cited answer: every claim links to its record

Why it's different

Grounded in your records

It reads only the records in scope, never the open internet, so every answer traces back to a source you can open.

Permission-aware by default

It authenticates as the user and sees exactly what they're authorized to see. Unauthorized records never enter the context window.

Cited and auditable

Every answer links to the source record, and every question is written to the audit trail, the same one your records already carry.

Where you ask it

Right-click Chat, wherever the records are.

Ask Me meets the records where they already live: no new screen to learn, no collection to build first.

From a folder

Right-click any folder and choose Chat to ask across everything inside it. No export, no setup.

From a search result

Run a search, then ask Ask Me about exactly the set it returned. Narrow the scope, then question it.

From a saved Collection

Save a working set as a Collection and chat with it, then route it onward, straight into AI Redaction.

See AI Redaction ›

In practice

What people ask it.

The same chat, pointed at a different set of records. A few of the questions agencies put to it every week:

Explore policies and SOPs

“Summarize our telework policy changes since 2023.”

Authoritative answers in seconds, each cited to the source.

Prepare FOIA responses

“Show all records released for Project Orion in FY24.”

FOIA staff assemble release packages in minutes.

Contract research

“What's the renewal date and termination clause for Vendor X?”

Critical terms located and reviewed instantly.

IT and security support

“Have we seen this error code before?”

Relevant past issues and fixes surface fast.

The rest of the set

Five more capabilities, one boundary.

Every capability shares the same permission model, the same audit trail, and your choice of large language model.

Back to AI in Feith ›

Get started

Every authorized user, an instant expert in your records.

Bring a collection of records and a question your team asks every week. We'll answer it live, with citations you can click straight through to the source.