Real-World Use Cases
See how teams across industries use DataStruct AI to find and prepare source-linked evidence for human review.
Annual Report Benchmarking
Problem
A financial analyst needs to compare ESG disclosures across 50 companies. Currently this takes 3 analysts 4 weeks per quarter.
Solution
Upload all 50 reports to a workspace with the Corporate Reporting domain pack. DataStruct AI extracts ESG metrics, builds peer comparison tables, and flags companies missing required disclosures, in hours, not weeks.
Impact
Benchmarking cycles completed in hours, not weeks
Contract Portfolio Review
Problem
A law firm inherited 200+ agreements from an acquisition. They need to find all indemnification clauses, identify counterparty obligations, and flag non-standard terms.
Solution
Bulk upload all agreements. Create an extraction template for key clauses (indemnification, limitation of liability, termination). Run rules to flag non-standard language. Review queue catches edge cases.
Impact
Full portfolio review completed in days, not weeks
Systematic Literature Review
Problem
A research team is conducting a systematic review of 300+ clinical studies. They need to extract study design, sample sizes, endpoints, and outcomes for evidence synthesis.
Solution
Upload papers to a Health Research workspace. Define extraction fields for PICO elements (Population, Intervention, Comparator, Outcome). Extract across the study set with confidence scores and source links. Export structured dataset for meta-analysis.
Impact
Structured extraction across hundreds of studies in days, not months
Policy Compliance Audit
Problem
A compliance team needs to verify that 100 insurance policies meet 25 regulatory requirements. Currently done by reading every policy manually.
Solution
Create a rule pack with 25 compliance conditions (keyword presence, numeric thresholds, missing disclosure checks). Execute across all policies. Each rule returns a red/amber/green status per policy, with the evidence linked to the clause, for a reviewer to confirm.
Impact
Compliance evidence assembled for a reviewer to check and sign off
Research Knowledge Repository
Problem
A university department has 10,000+ publications spanning 30 years. New researchers have no way to search this corpus at depth or find thematic connections.
Solution
Upload entire corpus to a Research workspace. DataStruct AI indexes the papers, extracts entities (authors, topics, methods), and enables semantic search across the corpus. Collections organise papers by research programme.
Impact
Institutional knowledge made searchable and discoverable
Disclosure Gap Detection
Problem
A compliance officer needs to verify that annual reports include all required disclosures (climate risk, governance, board diversity) before filing.
Solution
Upload the draft report. Run the Disclosure Completeness rule pack. Rule packs check for the required topics you define and flag those with no supporting passage, each with a rule severity, for a reviewer to confirm before filing.
Impact
Missing disclosures flagged before filing
Procurement Tender Evaluation
Problem
A procurement team must manually evaluate 50+ bid responses against weighted criteria. Each bid runs to hundreds of pages, and scoring consistency varies across evaluators.
Solution
Upload all bid responses to a Government Procurement workspace. Define extraction templates for pricing, technical capability, past performance, and compliance requirements. DataStruct AI extracts bid responses against your criteria with evidence links, so evaluators score from the same source-linked material.
Impact
Evidence-linked material for evaluators, consistent across bids
Lease Portfolio Analysis
Problem
A real estate investment team is acquiring a portfolio with thousands of lease clauses scattered across hundreds of properties. Critical terms like rent escalations, break options, and tenant obligations are buried in legacy documents.
Solution
Bulk upload all lease agreements. Create extraction templates for key commercial terms (rent, escalation clauses, break options, repair obligations, permitted use). DataStruct AI extracts the terms across the portfolio and rule packs flag non-standard provisions, each linked to its clause.
Impact
Due diligence completed in days, not weeks
Permit Condition Extraction
Problem
An energy operator manages complex permit conditions across multiple assets: environmental, safety, and operational. Missing a single compliance deadline risks fines, shutdowns, or licence revocation.
Solution
Upload all permit documents to an Energy Compliance workspace. DataStruct AI extracts conditions, deadlines and reporting obligations into a structured, searchable register with evidence links back to the source clause. Run rule packs to flag conditions missing required detail, and export the register for compliance review.
Impact
Permit conditions and deadlines extracted with linked evidence
Patent Landscape Analysis
Problem
A biotech R&D team needs to conduct a freedom-to-operate assessment across thousands of patents before advancing a drug candidate. Manual patent review by IP counsel takes months and costs hundreds of thousands.
Solution
Bulk upload the patent corpus to a Pharma IP workspace. Build extraction templates to pull key fields from each patent (claims, priority dates, assignees, classifications) with confidence scores, and use search and cited Q&A to interrogate the corpus. Export an evidence-linked, structured dataset for IP counsel to review.
Impact
Structured, evidence-linked patent data ready for counsel review in days, not months
Bid Requirement Evidence Check
Problem
A defence contractor must demonstrate compliance against hundreds of technical requirements per bid. Manually populating compliance matrices across multi-volume proposals is error-prone and takes weeks.
Solution
Upload the bid requirements document and draft proposal volumes. Build an extraction template to pull each requirement, then run a rule pack that checks whether each required clause or keyword is present across the proposal and flags requirements with no matching content. Evidence links point to the exact text for review.
Impact
Missing requirements surfaced with cited evidence for human review
Audit Working Paper Review
Problem
An audit engagement team needs to detect going concern indicators and related party transactions across large, complex engagements. Manual review of working papers misses subtle risk signals.
Solution
Upload audit working papers, financial statements, and client correspondence to a Professional Services workspace. Build a rule pack to flag going concern language and related party references, then link each hit back to the exact clause as supporting evidence. Export an evidence-linked review pack for the engagement team.
Impact
Going concern and related party language flagged with linked evidence