Submission.pdf
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SolutionsAI Document Review
AI document review: check every submission against your standards, with every finding traceable
How AI review works
Four capabilities that make review faster, consistent and explainable.
Standards as knowledge
Regulations, guidelines, templates and past decisions live in a permission-aware knowledge base with versioning and citations.
Clause-by-clause checking
A Workflow parses each submission with DeepDoc / MinerU — including scanned PDFs and tables — and checks every requirement as its own step.
Findings with evidence
Every finding cites the clause and the passage it applies to; fact-conflict detection flags contradictions between rules or within the submission.
Human in the loop
Exceptions and low-confidence findings go to a reviewer; every decision is traced with LogTree and exported as a report.
Four capabilities that make review faster, consistent and explainable.
- 2Document parsing engines
- 57Node types traced by LogTree
- 10Human handoff vendors
What a review pipeline looks like in GStudio
How AI review is delivered
Four steps, co-built with forward-deployed engineers.
Load the standards
Regulations, guidelines and past decisions go into the knowledge base — cleansed and chunked with FDE.
Design the checklist
Each requirement becomes a Workflow node with pass, fail or review outcomes and the evidence it must cite.
Pilot on past cases
Compare AI findings with historical decisions, tune thresholds and wording until reviewers agree.
Go live with handoff
Route exceptions to reviewers, publish to the intake channels and monitor with dashboards and alerts.
How enterprises put AI to work
A department that made every review decision faster, consistent and explainable.
A government department in Hong Kong
Public sectorHong KongGStudio
A government department in Hong Kong
Public sectorHong KongGStudio
- −70%review cycle time
- 98%consistency with published standards
- 100%findings traceable to a source clause
ProfileA department that reviews large volumes of submitted materials against published standards and guidelines, with a small team of experienced reviewers.
ChallengeManual review was slow and depended on individual reviewers; applicants asked why a decision was made, and answering took as long as the review itself.
SolutionThe standards were loaded into a knowledge base, each requirement became a Workflow node, and a review agent now checks every submission clause by clause, citing the rule and passage for each finding; low-confidence findings and exceptions are routed to a reviewer, and every decision is traced with LogTree.
ResultsReview cycles shortened sharply, decisions became consistent across reviewers, and every finding can be explained to the applicant with the clause it rests on.
AI document review FAQ
DOC, DOCX, PDF including scanned pages, TXT, MD, HTML and XML documents, plus XLS, XLSX and CSV spreadsheets. DeepDoc and MinerU parse layouts and tables so that clauses and figures are read in context.