Finding the same clause across approved agreements, recovering the basis for a contract revision and remembering the next research question are practical retrieval problems. Central Brain combines searchable project files with persistent notes so a new AI session can start from a reviewed project brief instead of a fresh upload pile.
The example below shows a practical evaluation using an approved document set. Begin with public, synthetic or otherwise authorized material and a question whose answer you already know. You can then see how local preparation, source-traceable results and reviewed memory work together before expanding the project.
A hypothetical contract-review project
Consider a reviewer working with an approved agreement, two amendments and an internal issue list. The task is to find the current termination language and record the question that still needs a human decision. Keeping the exact source alongside a short memory note is more useful than asking an assistant to reconstruct the matter from an old conversation.
Create a focused Central Brain project for this test. Select the files required for the assignment and choose separate prepared-output storage. Give the project a clear matter name and apply your approved folder and device access controls. This keeps the scope understandable when you return to the work or connect another supported assistant.
- Prepare the approved PDF, DOCX or other supported files and review preparation failures. If the documents are scans, first confirm that the installed build includes OCR.
- Use exact text search for a known clause heading and semantic search for a paraphrase. Ask the connected assistant to name the source and available page or chunk for each finding.
- Open the original agreement and amendments. Confirm which version controls the question, check surrounding language and resolve any conflict yourself.
- Save a reviewed fact, decision, question or todo. Include the source identity in the note so the reason for the next step remains understandable in another session.
Use source search and project memory together
Central Brain keeps five note types: decision, fact, question, todo and summary, plus a project brief. A helpful checkpoint might say that a human reviewer identified a conflict between two versions and still needs to resolve it. Avoid turning the assistant's interpretation into an established fact simply because it appears in memory.
File-search results retain the source path, prepared-file path, page and chunk where available. Those details give a reviewer a direct route to the underlying material and its surrounding context. For a workbook, compare retrieved text with the original cells and formulas. For OCR, check the scanned image. Keep your existing document-control and review practices around the project.
Give memory entries enough context to survive a handoff: identify the matter, the document version, the reviewer and the outstanding question in ordinary language. Keep tentative interpretations labeled as questions. When a document changes, refresh the prepared project and review any brief or decision that depended on the earlier version. Source updates and memory updates are related work, not an assumption that one automatically corrects the other.
Decide what each connected tool may receive
In the default workflow, documents, prepared output, local vectors and memory remain on storage you choose. The bundled embedding model runs locally. Keygen receives licensing and device information, not project documents. Its ordinary online license check occurs every 14 days.
A connected AI tool receives the context it retrieves. Treat that as a disclosure destination requiring approval for the matter and task. Optional cloud embeddings or publishing connections add destinations when enabled; synced folders and backups also change who may obtain a copy. Review Central Brain's data boundaries alongside the chosen assistant's settings and terms.
Make the first evaluation easy to judge
Use a small set with an amended clause, a duplicate filename, a document containing a tempting near-match and a question with no answer in the files. Write down expected sources before running searches. Confirm that the tool can return useful context and that the reviewer can recognize missing or contradictory material.
Close and reopen the AI session, then recall the approved project memory. Correct an inaccurate note and check what remains in older notes and backups. Memory compaction marks older notes as compacted; it does not delete them. Agree who owns access, retention and project closure before expanding to real matters.
Central Brain is useful here when repeatable file preparation, traceable retrieval and inspectable project continuity save repeated setup. Choose your computer licenses after checking the installer and your approved AI connection. Ask NeuroAIgent about deployment requirements that go beyond a local pilot.
Common questions
Can Central Brain search contracts and legal PDFs?
It prepares PDF, DOCX, TXT, Markdown, CSV and XLSX files. OCR for scanned material depends on the build. Retrieval can help locate language, but a person must check the original, version and surrounding context.
Does local storage prevent disclosure to an AI provider?
No. A connected AI tool receives the context it retrieves. Approve that connection and its scope for your files before use.
How should I evaluate Central Brain for a legal-file project?
Start with an approved document set and known-answer questions. Check source locations, document versions and memory recall, then have the responsible reviewer approve the configured storage and AI connection for the intended use.