Engrami for Legal
Enterprise AI Agents for M&A Due Diligence
Engrami is an enterprise AI platform that deploys teams of specialized AI agents to handle complex, knowledge-intensive work. Each agent has a specific role, persistent memory that grows with every interaction, and the ability to collaborate with other agents — just like a well-coordinated team of experts.
This guide shows how Engrami transforms M&A due diligence through a live demo of a $125M SaaS acquisition. Every feature you see is real and interactive.
Demonstrated Impact in This Demo
70%
Faster review
99.1%
Detection accuracy
$2.4M
Risk identified
3x
Team throughput
The Challenge: M&A Due Diligence at Scale
A typical M&A transaction requires a legal team to review hundreds of contracts, identify every risk, cross-reference findings against prior deals, produce disclosure schedules, and meet aggressive closing deadlines — all while managing partner escalations and client reporting. The volume is enormous, the stakes are high, and the margin for error is zero.
500+
Documents per deal
50+
Risk categories to track
2–4 weeks
Typical timeline
Engrami was built to handle exactly this kind of work. Here's how.
AI Agents: A Dedicated Team That Never Sleeps
At the core of Engrami are AI agents — autonomous specialists that each handle a distinct part of your workflow. Unlike a single chatbot that tries to do everything, Engrami deploys a coordinated team where each agent excels at one job and hands off to the next.
In this demo, five agents run the entire due diligence process:
Intake Agent
Reads every document in the data room. Extracts key terms, flags anomalies, and creates structured summaries from SPAs, employment agreements, IP filings, and customer contracts.
Pattern Agent
Cross-references the current deal against your firm's entire transaction history. Surfaces precedents, identifies recurring risk patterns, and provides historical context that would take a senior associate days to compile.
Decision Agent
Scores and prioritizes every issue found. Uses Tier 1/2/3 classification based on financial impact, timing sensitivity, and deal-blocking potential, so your team focuses on what matters most.
Drafting Agent
Generates client-ready deliverables by applying the firm's established deal positions — e.g., excluding pandemics from Material Adverse Effect, setting a 10% indemnity cap with a 0.75% basket, reusing approved language on knowledge qualifiers and 18-month survival — and produces red-flag memos, disclosure schedules, and executive summaries formatted to firm standards.
Escalation Agent
Routes critical issues to the right partner immediately. Enforces response SLAs (4 hours for critical, 24 hours for high priority) and maintains a complete audit trail of every decision.
How agents collaborate
Persistent Memory: Agents That Learn and Remember
Most AI tools are stateless — they forget everything after each session. Engrami is different. Every agent has persistent, long-term memory that grows with every interaction. This means your AI team remembers every document reviewed, every decision made, and every lesson learned — not just within this deal, but across all future engagements.
Knowledge Memory
Deep understanding of legal concepts, clause meanings, and regulatory frameworks accumulated over time.
Event Memory
Complete audit trail of every action, decision, and outcome — who reviewed what, when, and what was found.
Skill Memory
Learned procedures that improve with each deal — clause extraction patterns, risk scoring models, drafting templates.
Active Context
Live deal state, current reasoning chains, and active priorities that keep agents aligned throughout the engagement.
The business impact: Your second deal runs faster than your first. Your tenth deal benefits from the accumulated intelligence of the previous nine. This persistent memory becomes a durable competitive advantage for your firm.
Automated Workflows: End-to-End Process Orchestration
Agents don't work in isolation. Engrami's workflow engine orchestrates multi-step processes, routing work between agents automatically. Documents flow from intake through analysis, risk assessment, and report generation without manual intervention.
M&A Document Triage
Every document is read, compared against precedents, scored for risk, and routed appropriately — in minutes.
Due Diligence Pipeline
Full pipeline from raw documents to completed diligence report with risk rankings and recommendations.
Disclosure Schedule Builder
Automatically compiles and formats disclosure schedules from diligence findings, ready for client review.
Agent Collectives: Coordinated Teams for Complex Tasks
For tasks that require multiple agents to collaborate closely, Engrami organizes them into collectives — coordinated teams with shared objectives and a supervisor agent that orchestrates priorities. Think of it as assembling a project team: you pick the specialists you need, assign a lead, and let them execute.
M&A Diligence
All 5 agents
Full-scope diligence with the Decision Agent as supervisor.
Contract Review
3 agents
Focused intake, pattern matching, and risk triage for targeted analysis.
Disclosure Generation
3 agents
Intake, decision, and drafting agents for deliverable production.
Real-Time Analytics: Complete Visibility Into Every Decision
Engrami isn't a black box. Every agent action, every decision, and every output is fully transparent. The analytics dashboard gives you real-time visibility into how your AI team is performing, what it's finding, and where it needs attention.
Agent performance and success rates
Execution volume and trends
Full execution traces for every action
SLA tracking and deadline compliance
Your attorneys always stay in control. AI handles the volume; humans make the judgment calls.
Enterprise Integrations: Fits Your Existing Stack
Engrami connects directly to the tools your firm already uses, bringing AI intelligence into your existing workflows without requiring you to change how you work.
See It in Action: The DataFlow Acquisition
Everything described above is running in the demo right now. Here's the deal scenario you'll explore:
Law Firm
Sterling & Associates LLP
Target
DataFlow Inc.
Deal Size
$125M
Acquirer
TechVentures Holdings
Escrow
$12.5M (18 months)
Progress
Week 2 of 4 — 78% complete
Critical risks identified by agents within 48 hours:
Change-of-Control Consents
3 customer contracts with termination rights — $2.4M annual revenue at risk without pre-closing consent.
Pending Patent Litigation
NPE claim (Smith v. DataFlow) with estimated $500K–$1.5M exposure. Pattern Agent found similar precedents and recommended indemnification language.
Unsigned IP Assignments
4 senior engineers without IP assignment agreements — a standard closing condition that could delay the transaction.
GDPR DPA Gap
Existing data processing agreement requires amendment for change in data controller. Drafting Agent prepared recommended amendments.
Every finding is traceable. Click into any agent's execution trace in the Agent Monitor to see exactly how it arrived at each conclusion.
Why Engrami
Multi-Agent Teams
Not a single chatbot — a coordinated team of specialists that collaborate and cover each other's blind spots.
Memory That Compounds
Every deal makes your agents smarter. Institutional knowledge grows over time, becoming a lasting competitive edge.
Enterprise-Grade Security
Full data isolation, on-premise deployment options, and your client data never leaves your infrastructure.
Beyond Legal
This demo showcases M&A due diligence, but Engrami's platform is industry-agnostic. The same agent architecture, memory system, and workflow engine can be applied to any knowledge-intensive domain:
Ready to see Engrami in action?
Log into the live demo to explore the full M&A due diligence experience — five AI agents, persistent memory, automated workflows, and real-time analytics, all running on a realistic $125M deal.