For Legal Services
AI Document Intelligence for Law Firms
Who it is for
- BigLaw
- In-house legal teams
- Litigation support firms
- Boutique law firms
- Corporate legal departments
Contract intelligence that surfaces evidence keyword search misses
Problem and approach
Where legal teams lose time today
- 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
What DataStruct does
- 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
Use cases
Legal use cases
Contract Review
Reviewing hundreds of contracts for key terms is error-prone, slow, and burns out associates.
AI extracts key clauses (termination, indemnification, liability, payment terms) with citations to the cited source passage.
M&A Due Diligence
Deal teams spend weeks reviewing data rooms with thousands of documents under tight timelines.
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.
Read the use casePrecedent Research
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.
Obligation Tracking
Tracking obligations, renewals, and conditions across thousands of agreements requires constant manual checking.
Extraction of dates, conditions, and obligations, each linked to its source clause, for a reviewer to track.
Documents and questions
What legal teams bring, and ask
Documents it reads
- Contracts
- NDAs
- Case Law
- Discovery Documents
- Employment Agreements
- Leases
- Legal Opinions
- Board Resolutions
- Regulatory Filings
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?”
How findings read
The same evidence model in every sector
Answers cite the sources they rely on. Records DataStruct could not confirm are shown separately for a reviewer to check, related material is kept apart from evidence, and a finding with no support says so. Access is controlled by workspace roles, and sensitive actions are audit logged.