What this category of data looks like
Data for this category comes from enterprise contract management systems, compliance risk databases, law and regulation repositories, case management systems, and reporting platforms. Data is updated monthly. Commonly processed documents include compliance risk lists, contract legal review opinions, major issue legal opinions, compliance review forms, and violation report investigation results. Documents contain structured fields and unstructured text. Compliance review forms and risk lists mostly use table formats with fixed headers. Legal opinions and review opinions are paragraph-based text. Some documents include standardized fields such as identification numbers and subject names.
Constraints for Document Parsing and Chunking
Mixed-format documents from multiple sources require parsing tools that support both table and plain text extraction. Stable batch parsing capabilities are needed for monthly batch-updated data. Fixed headers in structured documents such as compliance review forms require accurate field boundary identification to avoid splitting table rows and columns during chunking. Unstructured legal opinion paragraphs are lengthy. Chunking logic must adapt to long text while retaining contextual associations for core fields such as compliance clauses and handling opinions. Standardized identification number fields attached to some documents must be fully extracted. Truncating critical identifiers during chunking will affect subsequent compliance risk matching.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | This category of documents includes lengthy legal opinion paragraphs and structured tables. This range balances contextual completeness and chunk granularity, avoiding splitting compliance clause associations. |
chunkSplitter | By paragraph + semantic boundary | Compliance documents mostly contain coherent legal discussions and structured fields. Chunking by semantic boundaries preserves the integrity of core compliance logic. |
customPdfParse | Enabled | Some documents in this category are PDF versions of compliance review forms and legal opinions. Enabling custom parsing accurately extracts table fields and text paragraphs, avoiding format corruption. |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Some monthly compliance report files imported in batches may be large. This value covers the upload requirements of conventional large documents. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing lengthy legal opinion documents takes significant time. This duration prevents parsing failures due to timeouts and ensures batch tasks complete successfully. |
chunkSettingMode | Manual configuration | Documents in this category have significant format differences. Manual configuration allows adjusting chunking parameters for different document types, adapting to parsing needs for structured and mixed formats. |
Three Common Mistakes
- After uploading an Excel file of a compliance review form, table column fields are empty in the parsing result. The custom parsing configuration for the corresponding format was not enabled, and the default parsing logic does not support field extraction for structured tables.
- When importing monthly compliance reports in batches, some tasks return timeout errors. The
PARSE_FILE_TIMEOUT_SECONDSvalue is set too short. The parsing time for lengthy legal opinion documents exceeds the preset threshold. - Compliance clauses split during chunking lose contextual association, making it impossible to link risk levels and rectification requirements. The
chunkSizevalue is too small, splitting coherent legal discussions into multiple independent chunks and losing critical associated information.
How to Confirm Proper Configuration
- Upload an Excel file of a compliance review form, and verify that the parsing result fully extracts table headers and content fields.
- Upload a lengthy paragraph-based legal opinion document, and review the chunking results to confirm that contextual associations for core legal compliance discussions are not broken.
- Upload batch documents of conventional size for this category, and confirm that the upload and parsing processes do not return errors.
- Verify that parsing task durations do not exceed the preset threshold, ensuring that lengthy text documents can complete parsing successfully.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.