When a product says you can chat with your contracts, the honest version is: the app finds the most relevant parts of your documents, sends that context to a language model, and the model answers based on that context. That pattern is usually called retrieval-augmented generation (RAG).
To see how this fits a real B2B workflow, compare tractlyAI pricing and read the tractlyAI FAQ for data handling and model use.
Why not just "ask the model"?
General-purpose models do not know your NDA, your MSA, or your employment agreement. If you paste a whole 40-page document into a chat, you can hit context limits, lose structure, and still get confident-sounding but wrong details.
RAG instead does roughly three things:
- Ingestion: Your file is turned into text and cut into chunks that are easier to search.
- Retrieval: When you ask a question, the system pulls the best-matching chunks from your repository.
- Generation: The model answers using those chunks, ideally with pointers back to where the language came from.
What you should expect in the UI
A solid experience usually includes short quotes or citations so a human can verify the answer against the source. If a platform cannot show you where it read something, treat the output as a draft, not a conclusion.
Privacy and data handling: questions to ask
- Where do chunks and embeddings live, and who can access them?
- Is your data used to train general models? (Reputable B2B tools typically offer no training on your data in their business terms—always confirm in writing for your org.)
- Can you remove a document and its derived index data on request?
tractlyAI is designed so contract Q&A is grounded in your workspace, with a workflow that looks like: upload, process, then ask in natural language—without asking you to become a prompt engineer or a data scientist.
A mindset that keeps teams safe
Use AI chat to compress reading time and surface candidates for review—not to replace sign-off. The best teams treat answers like a first-pass research memo: fast, with citations, and still subject to human review when stakes are high.
Explore the product home and About tractlyAI when you want the full feature picture.