Turn professional services documents into structured data.
DocLD helps law firms, consultancies, and accounting firms process high-volume, multi-format documents where precision matters. Parse contracts, proposals, engagement letters, and matter files with one API — layout-aware extraction, OCR for scans, and citation-ready chunks for RAG and compliance.



Contracts and agreements
MSAs, NDAs, and commercial contracts mix dense text with schedules and exhibits.
Contracts, MSAs, and NDAs combine narrative terms with schedules, exhibits, and amendments where critical clauses live. DocLD parses PDFs and documents with layout-aware extraction so you get clean text and structure — ready for semantic chunking and retrieval. Build RAG and agent flows that cite back to the exact clause or section for contract review and due diligence.
Parse returns chunks with page and bounding-box context so your pipelines stay traceable and audit-ready.
Proposals and RFPs
Proposals, RFP responses, and slide decks in PDF and Office formats.
Proposals, RFP responses, and pitch decks often mix narrative with tables, pricing, and appendices. DocLD supports PDF, images, and Office documents with layout-aware extraction so you get clean text and table structure for evaluation, comparison, and knowledge bases. Use the same Parse API across formats without changing your pipeline.
Extract key terms, dates, and scope with the Extract API and citations back to the source for auditability.






Engagement letters and SOWs
Engagement letters and statements of work with terms, dates, and scope.
Engagement letters and statements of work define scope, fees, and deliverables in mixed layouts. DocLD parses PDFs and Office docs with layout-aware extraction; use the Extract API with schemas to pull specific fields (e.g. effective date, fee structure, scope) with citations back to the source for matter management and billing.
Run parsing and extraction via API in your own environment, with configurable presets and webhooks for high-volume intake.
Due diligence and data rooms
Data room volumes and long document sets for M&A and transactions.
Due diligence and data rooms involve hundreds or thousands of documents that must be parsed, chunked, and made searchable. DocLD supports files up to 100MB with semantic, fixed-size, or page-based chunking so you can tune for RAG quality and context windows.
Use the async Parse endpoint and webhooks for large document sets and batch jobs — no need to block on synchronous responses when ingesting data rooms.






Matter and knowledge bases
Matter files and practice documents for research and retrieval.
Matter files, practice memos, and precedent documents are essential for research and consistency. DocLD parses PDFs and Office documents with layout-aware extraction so you get clean text and structure for semantic chunking and retrieval. Build RAG and agent flows that cite back to the exact memo or clause for research and drafting.
Parse returns chunks with page and bounding-box context; push into your knowledge base or matter system via a single API.
How teams use DocLD in professional services
| Use case | Description |
|---|---|
| Contract review and clause lookup | Parse contracts, MSAs, and NDAs for clause extraction, comparison, and RAG-backed review. |
| RFP and proposal response | Ingest RFPs and proposals in PDF and Office formats; extract key terms and structure for evaluation and response. |
| Due diligence and data rooms | Process large document sets with async Parse and webhooks; build searchable, citation-backed knowledge for M&A and transactions. |
| Matter and precedent research | Turn matter files and practice memos into a searchable knowledge base with citation-backed answers for research and drafting. |
| Engagement and SOW management | Extract scope, fees, and dates from engagement letters and SOWs; push structured data into matter and billing systems. |
| Compliance and audit documentation | Parse and structure compliance packs and audit documentation with source citations for regulatory and internal review. |
Professional Services: Questions & Answers
Ready to process professional services documents?
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