Juris AI
Maqware built an AI-powered contract review platform helping in-house legal teams cut review time by 75%, enforce 90% playbook consistency, and reduce legal spend by 50% — purpose-built for Recruitment & Staffing and Property Management sectors.
Services:
AI Contract Review Platform
Industry:
Legal Tech
Timeline
~8 Mos
The Challenge
In-house legal teams were spending 70–80% of their time on routine contract review — candidate placements, facility leases, vendor agreements — with no standardised playbook enforcement across jurisdictions.
No automation for high-volume, low-complexity agreements: NDAs, PSAs, and framework terms
Teams applying inconsistent fallback positions across different contract types and jurisdictions
Legal headcount unable to scale with contract volumes during growth phases
Manual review creating bottlenecks averaging 4–8 hours per contract
Our Approach
Maqware built Juris AI from the ground up: a retrieval-based contract intelligence platform where each client sector gets its own commercially validated playbook, applied consistently by the AI review engine.
Sector-specific LLM configuration for Recruitment & Staffing and Property Management verticals
Custom playbook builder aligned to client fallback positions, standard templates, and jurisdiction requirements
Human-in-the-loop workflow: AI flags risks and drafts redlines — lawyers review, approve, and override
Full platform: risk redlining, AI summaries, redrafts, version control, contract metadata, and analytics
The Result
Juris AI launched with two live verticals and scaled to enterprise clients managing over 1,200 contracts annually — with review times cut from hours to minutes and full playbook consistency across every document.
75% reduction in average contract review time per document
90% playbook consistency rate maintained across all reviewed contracts
50% reduction in legal spend without increasing headcount
Average review time dropped from 4–8 hours to under 4.2 minutes per contract
