Request Processor
Receives and processes contract requests from business teams
- •Parse request
- •Identify contract type
- •Extract requirements
Receive request, check templates, generate draft, route for review
Contract drafting bottlenecks slow down business teams eager to close deals, with sales and procurement often waiting days for legal to produce initial drafts. This agentic workflow receives contract requests from business units, determines the appropriate contract type (NDA, MSA, SOW, etc.), pulls from approved template libraries, generates customized drafts with requested terms, and routes to legal counsel for final review—all in minutes rather than days. By automating the intake-to-draft process, this approach eliminates the administrative burden that typically delays contract turnaround. Organizations using agentic contract intake achieve 60% faster drafting times and ensure consistent use of approved language across all contracts, delivering 5-7x ROI through legal time savings. Industries with high contract volumes, standardized agreement types, or distributed business teams—such as technology, professional services, real estate, manufacturing, telecommunications, and financial services—gain the most value from this automation, as it allows legal teams to focus on complex negotiations rather than repetitive template customization.
A simple workflow that processes contract requests from intake through legal review routing.
Request Processor
Receives and processes contract requests from business teams
Template Matcher
Finds appropriate template and generates draft
Review Router
Routes draft to legal counsel for review
Receive contract request from business team
Determine contract type (NDA, MSA, SOW, etc.)
Check for approved template
Generate draft with requested terms
Route to legal counsel for review
Track review status
Click any KPI to view detailed measurement guidance, formulas, and typical ranges.
Capture all agent interactions (prompts, outputs, data sources accessed) in a central, searchable system
Central inventory of all agents with metadata: owner, purpose, data sources, risk level, users
Automatically detect and mask PII in agent interactions, especially before logging or sending to external APIs
Define how long to retain agent logs, prompts, and outputs. Balance audit needs with privacy obligations.
These controls help ensure secure, compliant, and auditable AI operations. High-priority controls are critical for production deployment.
AI generating false or fabricated information presented as fact
AI using outdated data that no longer reflects current reality
Inability to verify or cite the original sources of AI-generated information
Non-compliance with data privacy regulations like GDPR and CCPA
Accidental disclosure of confidential business or customer information
Lack of proper consent for recording, storing, or processing user interactions
These risks should be mitigated through proper governance controls and operational procedures.
Track regulatory changes, assess impact, update policies, notify stakeholders
Extract key terms, flag risky clauses, suggest redlines, track versions
Search for keywords, categorize documents, flag privileged material, prepare production
Explore assistive AI tools that Legal teams use to augment these agentic workflows.
Applying AI to legal workflows? Olakai delivers the compliance monitoring and risk governance that legal teams require.
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