AI Document Intelligence for Law Firms
Review contracts faster. Extract clauses and accelerate due diligence, with findings linked to the source text they came from.
Built for
Why Legal teams struggle today
The problems we see in every legal workflow.
- Clause extraction across hundreds of agreements is error-prone and takes weeks of associate time
- Inconsistencies between related contracts go unnoticed until disputes arise
- Obligation tracking depends on manual review and spreadsheet logging
- New associates spend weeks just understanding existing contract portfolios
- Due diligence on M&A deals takes 3-4 weeks and burns out junior staff
How DataStruct AI solves it
Purpose-built capabilities for legal workflows.
- Automated clause extraction with evidence linking back to the cited source passage
- Cross-agreement search that finds the same clause type across a portfolio for side-by-side review
- Obligation and deadline extraction, each linked to its source clause
- Counterparty-level grouping and portfolio-wide search
- Case law and precedent search across the corpus you upload
Legal use cases
The most impactful workflows DataStruct AI powers for legal teams.
Contract Review
Problem: Reviewing hundreds of contracts for key terms is error-prone, slow, and burns out associates.
Solution: AI extracts key clauses (termination, indemnification, liability, payment terms) with citations to the cited source passage.
Impact: Faster review with source-linked evidence trails.
M&A Due Diligence
Problem: Deal teams spend weeks reviewing data rooms with thousands of documents under tight timelines.
Solution: Bulk-process entire data rooms, surface red-flag clauses (change of control, anti-assignment, unusual indemnities) with source links, and flag requirements with no matching clause.
Impact: Due diligence in days, not weeks. Focus partner time on what matters.
Precedent Research
Problem: Finding relevant case law and precedent contracts across firm databases is slow and inconsistent.
Solution: Semantic search across the documents you upload, with natural-language queries and source-linked results.
Impact: Junior associates work like seniors. Knowledge stays in the firm, not in their heads.
Obligation Tracking
Problem: Tracking obligations, renewals, and conditions across thousands of agreements requires constant manual checking.
Solution: Extraction of dates, conditions, and obligations, each linked to its source clause, for a reviewer to track.
Impact: Surface renewal dates and obligations for a reviewer to act on.
Document types we handle
Questions you can ask
- ›“What are the termination provisions in this agreement?”
- ›“Identify all indemnification clauses across the portfolio”
- ›“Compare limitation of liability across MSAs”
- ›“Find force majeure clauses with pandemic carve-outs”
- ›“Which contracts auto-renew in the next 60 days?”
Why Legal teams choose DataStruct AI
Evidence-cited AI
Answers cite the sources they rely on, and records the system could not confirm are shown separately for a reviewer to check.
Access control and audit
Workspace roles with granular permissions and an audit log on sensitive actions. Tenant isolation is enforced in the application layer.
11 industries
Pre-configured terminology, document types, and rule packs for your vertical.
See DataStruct AI in action
Tell us about your team, document volumes, and integrations. We'll put together a tailored package and walk you through the platform.