Scattered Contract Docs: AI Answers with Citations
When contracts, policies and rules sit in drives, OA and chat docs, first gather the minimum set needed for one question type into a knowledge base with clear versions and sources. Have the AI answer only from that material and cite every conclusion. People check the citations against the originals; steps that change data or start approvals pause for confirmation. Prove one question type, then widen the scope.
Legal and compliance teams are often asked what a contract says about payment terms, how it differs from the last version, or what an internal policy requires. The material is rarely in one place—some of it sits in a drive, some in OA, some in collaboration docs—so finding, checking and answering already takes most of the time.
If AI is to help, the hard part is not whether the model can write. It is whether the material is gathered, whether every answer carries a citation, and whether changes still wait for a person. On its website, FIM One, from Beijing FIM Network Technology Co., Ltd., describes the knowledge base as follows: import enterprise documents, manuals and regulations into the knowledge base, and the agent can answer from that material and mark the source of every conclusion.
1. Three layers: find, answer, change
| Layer | Decide this first | Common mistake |
|---|---|---|
| Find | Which contracts, policies and rules this question needs; where they live; which version is authoritative | Mixing personal drafts with the signed or issued version |
| Answer | The AI answers only from imported, sourced material; each conclusion links back to a passage | Letting the model fill gaps when evidence is missing, with no mark |
| Change | Writes to business systems, starting approvals and outbound sends pause by default until the owner confirms | Treating “draft ready” as the same as “already changed in the system” |
Answers with citations address the first two rows: a person can open the citation and check it. The third row is separate; see Human review before an AI agent changes your data.
2. When files are scattered, gather first
Contracts and compliance files usually scatter in three ways: files in a drive, workflows in OA, discussion in chat or mail. Connecting every system at once is slow and hard to bound. A steadier order is:
- Pick one question type. For example, “payment terms in the current contract” or “the exact wording of a policy.” Serve only that type first.
- List the minimum set. The templates, signed versions, full policies and regulation excerpts that question really needs, and which version is authoritative.
- Import into the knowledge base and keep source information. The website states that after enterprise documents, manuals and regulations are imported, the agent answers from that content and marks the source of every conclusion; citation marks in the answer point to specific passages. Common office formats are supported; see the Knowledge Base page for the product wording.
- Define what happens when evidence is thin. If material is missing or documents disagree, the answer should say so instead of picking a smooth sentence.
Once that question type can answer reliably with openable citations, connect submission or notification paths in OA or collaboration tools. For legal and compliance scenarios, the website also describes syncing contract files into the knowledge base for later retrieval, and having legal confirm before approval continues; see Legal and compliance automation.
3. How people check: citations first
After an answer with citations:
- Can each citation open, and does it point to the expected contract or policy?
- Does the cited passage actually support the sentence, without cutting context?
- If two documents disagree, does the answer mark the conflict?
- Do writes or outbound sends still wait for human review, instead of running on their own?
Style comes last. A polished sentence with a wrong citation is still unusable.
4. Source-available deployment and where the files stay
If the platform runs in the company’s own environment, contract and compliance originals usually must stay there too. The FIM One website states that its license is source-available: the full code is public on GitHub and can be read, forked and self-hosted, with exact terms in the repository license file. Choosing Community or Enterprise, and where data lives, follows the company’s data and operations needs—not a split in the core feature set; the website states the core feature set is the same across editions. Exact terms follow the website and the repository license file; a separate article on the site explains what “source-available” means for companies.
Summary
When contracts and compliance documents sit in several systems, gather a minimum set for one question type into a knowledge base with sources; have the AI answer only from that material with citations; people check citations first, and write operations wait for confirmation. Prove one question type before widening systems and files.