Connected Context
Contracts, policies, matter notes, templates, and prior negotiation positions become controlled review context.
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Legal AI that extracts, compares, and escalates.
Structure contract and policy work with clause extraction, version comparison, risk flags, and attorney-owned approval gates.
Direct Answer
Where AI fits in Legal work.
AI for legal teams can organize contract and intake work when every extraction and draft remains traceable to the governing document. Quellix builds contract intelligence, clause extraction, legal AI assistant, legal intake automation, obligation management, and contract lifecycle AI workflows that prepare review rather than issue legal conclusions.
Workflow Action
AI extracts clauses, compares versions, flags deviations, and prepares reviewer-ready summaries.
Reviewed Handoff
Legal judgment stays with attorneys; the system preserves citations, edits, and approval history.
Workflow language
contract intelligenceclause extractionlegal AI assistantlegal intake automationobligation managementcontract lifecycle AI
Operating Context
Start with the friction already inside the workflow.
Scattered context
Agreements, amendments, playbooks, correspondence, and matter history are difficult to reconcile before a lawyer can assess the request.
Manual coordination
Teams repeatedly extract clauses, compare versions, classify intake, and build obligation or renewal trackers by hand.
Hidden risk
A legal AI assistant creates risk when it omits controlling language, mixes jurisdictions, or presents a generated interpretation as advice.
Context Sources
- Executed agreements, amendments, exhibits, and correspondence
- Approved clause libraries, playbooks, and fallback positions
- Legal intake queues, matter records, and responsible owners
- Obligation, renewal, notice, and approval tracking records
Illustrative workflow · not a customer result
Review the clause deviation with the playbook beside it
Counsel compares a proposed agreement with the approved clause position. The useful output identifies the deviation, source and unresolved negotiation question.
| Contract provision | Review evidence | Counsel decision |
|---|---|---|
| Liability language | Clause text and playbook position | Accept, revise or escalate |
| Renewal obligation | Notice period in the agreement | Confirm the owner and reminder |
| Missing schedule | Referenced exhibit not supplied | Request the complete document |
Legal professionals interpret and approve the agreement. Generated commentary is not legal advice or a substitute for counsel.
How it works
How custom Legal systems operate.
We map each production workflow: where we connect the context systems, the custom workbench we build, how human operators review outputs, and the operating checks included in a scoped release.
Context Ingestion
Intelligent contract clause scanner.
AI document processing reads scanned PDF agreements, extracting critical clauses, liability caps, and termination obligations into structured review grids.
- Extracts specific legal clauses with verified confidence scoring.
- Links extracted texts back to highlighted spans in PDF pages.
- Surfaces key dates and renewal parameters for review.
Custom Solution
Contract version comparison and tracking.
Custom comparison tool checks contract drafts side-by-side against standard approved playbook guides, flagging deviations and non-standard promises.
- Highlights custom, non-standard clause variations.
- Scores compliance levels based on approved templates.
- Recommends custom alternative clause playbooks.
Attorney Review Gate
Strict counsel approval queue.
A customized review desk holds all contract summaries and extracted values, keeping final approvals strictly under human control.
- Locks contract export actions until attorney signature.
- Provides annotation overlays for discrepant items.
- Logs an immutable compliance audit trail for transaction records.
Client Cloud IngestionIllustrative workflow state
Vendor Contracts
Compliance Playbooks
Corporate Disclosures
Matter Folders
Unified CoreContract Liability Review
Context Ingestion
Intelligent contract clause scanner.
AI document processing reads scanned PDF agreements, extracting critical clauses, liability caps, and termination obligations into structured review grids.
Client Cloud IngestionIllustrative workflow state
Vendor Contracts
Compliance Playbooks
Corporate Disclosures
Matter Folders
Unified CoreContract Liability Review
Custom Solution
Contract version comparison and tracking.
Custom comparison tool checks contract drafts side-by-side against standard approved playbook guides, flagging deviations and non-standard promises.
Extracted Document FieldsStructured Text Reader
Contract TypeMaster Services Agreement99% conf
Liability LimitCustom capped at 1.5x Fees94% conf
Renewal DateMay 30, 202798% conf
JurisdictionCorporate registry verified97% conf
Attorney Review Gate
Strict counsel approval queue.
A customized review desk holds all contract summaries and extracted values, keeping final approvals strictly under human control.
Human-in-the-Loop Review GateSafety Control Queue
Active Safeguard Verifications
1. Liability Caps Verified Checked
2. Jurisdiction Checked Checked
3. Agreement Export ReadyReview Pending
Use Cases
Where this becomes a scoped first release.
Each use case is linked to the services that would actually build it. Case studies appear only where the proof matches the workflow.
01department
Contract clause extraction
Extract renewal, liability, termination, confidentiality, pricing, and obligation fields into a review queue.
Relevant Services
02department
Version comparison and risk flags
Compare drafts against approved templates and highlight deviations with source-linked evidence.
Relevant Services
03department
Legal intake triage
Route requests by matter type, urgency, missing documents, and required approver while preserving evidence.
Relevant Services
Workflow Directory
Practical places to start, grouped around the work.
These are scoped implementation areas, not a promise to automate every decision. Open a group to see the context, review path, and operating feedback that belong in the first release.
Contract abstraction and comparison
Extract defined fields and clauses from controlling documents, then show the exact text behind each result.
Document hierarchy
Identify agreements, amendments, exhibits, versions, and possible governing conflicts.
Clause extraction
Capture requested terms with page references, confidence, and missing-field flags.
Version comparison
Highlight changed language and route its significance to qualified legal review.
Legal intake and review preparation
Structure request context, retrieve the applicable playbook, and prepare a legal intake automation packet.
Matter classification
Suggest category, urgency, entity, jurisdiction, and owner from reviewed criteria.
Playbook match
Surface approved positions and clearly separate them from generated drafting.
Counsel handoff
Attach source documents, proposed issues, open facts, and requester commitments.
Obligation and lifecycle tracking
Turn reviewed contract facts into obligation management and contract lifecycle AI reminders without changing legal rights.
Obligation record
Capture owner, trigger, due date, evidence, notice rule, and source clause.
Reminder review
Flag upcoming events and ambiguous triggers for legal or business-owner confirmation.
Completion evidence
Link approved actions and records back to the governing obligation.
Controls And Handoff
Build the stopping points before the automation.
Matter and privilege boundary
Restrict retrieval by client, entity, matter, role, and approved confidentiality rules.
Qualified legal review
Hold interpretation, advice, negotiation positions, and external language for authorized counsel.
Clause-level provenance
Preserve document version, page, extracted text, reviewer, and downstream use.
Limits to keep visible
- Extraction cannot resolve ambiguous drafting, conflicting amendments, or questions of governing law.
- Playbook matching supports preparation but does not determine legal position or negotiation strategy.
- Privilege, retention, and jurisdiction requirements must be configured for the organization and matter.
What your team receives
- Contract corpus, matter, and access map
- Clause schema and reviewed extraction examples
- Intake, playbook, and counsel approval workflow
- Obligation tracking and document-version operations guide
Faster preparation of contract and intake reviews.
More visible obligation ownership and source evidence.
Consistent legal handoffs without autonomous legal conclusions.
Next Step
Map the Legal workflow before choosing the model.
We identify the context sources, action boundaries, review gates, and launch path needed for a safe first release.
Talk to an AI EngineerUnited Kingdom: prepare this workflow for review
Illustrative enquiry: bring an agreement, its referenced schedules and the approved clause playbook. The review should explicitly test a missing exhibit or an unresolved clause deviation; a fluent answer alone would not establish that the workflow is ready.
For a UK supplier review, ask the designated legal reviewer to define acceptance examples and the source access an external engineering team may receive.
Agree the handoff with the designated legal reviewer: what evidence is attached, what remains unresolved and which action is withheld. Delivery is from India, with consultations and project work in English.
Which contract exceptions must go to counsel rather than become an automated conclusion?
For this engagement, define the decision with the designated legal reviewer before implementation. Test a missing exhibit or an unresolved clause deviation using representative inputs. For a UK supplier review, ask the designated legal reviewer to define acceptance examples and the source access an external engineering team may receive.