Precedent Research
with AI
Semantic search across the documents you upload, with natural-language queries and source-linked results.
Finding relevant case law and precedent contracts across firm databases is slow and inconsistent.
Semantic search across the documents you upload, with natural-language queries and source-linked results.
Junior associates work like seniors. Knowledge stays in the firm, not in their heads.
How DataStruct AI delivers Precedent Research
Evidence-backed AI
Outputs cite the source paragraph. A verification pass flags claims it cannot match to the cited evidence.
Legal domain pack
Pre-configured terminology, document types, and rule packs purpose-built for legal.
Audit trail by default
Actions are logged and claims link to source. Assemble the evidence without the fire drill.
Access control and audit
Multi-tenant architecture with RBAC and audit logs. Tenant isolation is enforced in the application layer: each tenant-scoped route resolves your workspace membership and permissions before returning anything.
More Legal use cases
Contract Review
AI extracts key clauses (termination, indemnification, liability, payment terms) with citations to the cited source passage.
M&A Due Diligence
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.
Obligation Tracking
Extraction of dates, conditions, and obligations, each linked to its source clause, for a reviewer to track.
Run Precedent Research on DataStruct AI
Tell us what you're working with. We'll spin up a tailored workspace and walk your team through it.
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