From 92 Minutes to Under 8 Minutes Per Contract
Manual NDA review averages 85–92 minutes; MSAs run 3–5 hours. The AI agent processes in under 8 minutes — enabling full review of every contract, not just high-value ones.
Enterprises lose 9.2% of revenue to poor contract management — missed obligations and IP errors. Fewer than 1 in 5 of 40,000+ active contracts are clause-reviewed before execution, and manual NDA review runs 85–92 minutes at $350–$900/hr outside counsel.
Manual NDA review averages 85–92 minutes; MSAs run 3–5 hours. The AI agent processes in under 8 minutes — enabling full review of every contract, not just high-value ones.
High-volume manual review is triage-based — most contracts get an abbreviated checklist. The AI agent applies full clause extraction and playbook benchmarking to every contract, from $5K to $5M.
Lawyers apply playbook standards inconsistently, creating negotiation confusion and hidden liability. The AI agent applies identical rules to every contract with a full audit trail of every deviation.
Six capability pillars — clause extraction, playbook enforcement, AI redlining, risk scoring, CLM integration, and negotiation analytics — enabling consistent contract governance at any volume without expanding headcount.
For a $100M enterprise, that's $9.2M of annual exposure — missed obligations, liability gaps, auto-renewal traps, and IP errors. The agent reviews every clause at intake, before risk becomes irreversible. Book a contract risk assessment.
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An AI Contract Clause Review Agent extracts, classifies, and risk-scores every clause against your legal playbook — in minutes, at any volume. It semantically understands clause intent, benchmarks language against approved fallback positions, and generates playbook-aligned redlines. Contract types covered: NDAs, MSAs, SOWs, SaaS, vendor, employment, and professional services agreements.
The agent identifies and risk-assesses 50+ clause types — including Limitation of Liability, Indemnification, IP Ownership, Confidentiality, Termination, Auto-Renewal, Governing Law, Data Privacy (GDPR, CCPA, SCCs), SLA penalties, Non-compete, Force Majeure, and Assignment. Absent clauses are flagged with the same rigor as non-standard ones.
A no-code policy engine lets your legal ops team define standard positions, acceptable fallbacks, and non-negotiable minimums in plain English — no engineering required. For example, a liability cap must equal at least 12 months of fees, with caps below 6 months requiring CLO sign-off. The agent applies rules semantically, and updates take effect immediately with full version history.
Redlines are generated from your playbook's approved fallback language — not generic boilerplate — output as Word tracked-change insertions ready for counterparty sharing. The model improves as your team accepts or rejects suggestions. Bonami deployments report 70–80% of AI redlines accepted without modification, reducing lawyer redlining time by 65–75%.
Certified connectors for Icertis, Ironclad, DocuSign CLM, Agiloft, ContractPodAi, Conga, and Salesforce. A native Word Add-in surfaces AI review in-document; SharePoint and iManage/NetDocuments connectors auto-process and file results automatically. Legacy systems connect via REST API and webhooks — typical integration timeline 2–4 weeks.
Supports contract review in English, French, German, Spanish, Portuguese, Dutch, Italian, and Mandarin Chinese — extracting in the source language, flagging in your configured output language. Jurisdiction rules are set per playbook, so the agent applies jurisdiction-aware benchmarking automatically from the governing law clause.
Standard implementation takes 6–9 weeks: CLM integration and playbook ingestion via workshop (Wks 1–2), parallel validation on live contracts (Wks 3–4), phased go-live by contract type — NDAs and MSAs first (Wks 5–6), then playbook refinement and training (Wks 7–9). Prerequisites: CLM API access, a written legal playbook, and a legal ops manager as project sponsor.
ROI spans four dimensions: outside counsel savings (70–80% billable time reduction; $2M annual spend → $1.2–1.6M saved in year one), in-house productivity (3–4× contract throughput), risk prevention (WCC estimates 9.2% revenue lost to poor contract management), and deal velocity (40–60% shorter cycle times with 8-minute AI review). Most Bonami implementations recover full investment within 2–4 months.
Bonami combines what teams usually buy as separate contract analysis software and clause extraction software into one agent. It semantically extracts 50+ clause types, benchmarks each against your legal playbook, and risk scores every contract across liability, IP, payment, and termination. As ai contract review software, it also generates playbook-aligned redlines that improve as your team accepts or rejects suggestions.
Yes. The clause extraction software ingests contracts from uploads, email attachments, CLM platforms, and shared drives, then runs contract review automation on every document at intake rather than only high-value deals. This contract review software extracts clauses, applies consistent playbook enforcement, and risk scores each agreement in under 8 minutes.