Q

2.0

⚖️  Law Firms · In-House Legal · Compliance

Your AI Data Team for Legal.

Working alongside your attorneys, paralegals, and legal ops.

Six AI agents on a shared semantic layer. Ask. Analyze. Act.

Plain-English requests, routed to reliable execution — across contract intelligence, eDiscovery, matter analytics, and compliance. xAQUA sits on your existing DMS, CLM, and matter systems and stores nothing.

80%
Faster document review
60%
Lower discovery cost
Hours→Min
Contract obligation extraction
⚖️
Ask Cezu · Legal Technology
Plain-English in. Reliable execution out.
Find all contracts with change-of-control clauses expiring in Q1 2026
⚖️
47 contracts match. 12 are high-value (>$1M ARR). Renewal deadlines flagged. Want me to pull the change-of-control language side by side?
Yes — and surface any conflicting jurisdiction clauses
⚖️
9 contracts have jurisdiction conflicts (DE vs. NY vs. UK). Marked them for review. Privilege filter applied throughout.
The Problem

Your stack is powerful.
But it doesn't work as one system.

Contracts, briefs, matters, emails, and DMS repositories — all in different systems. Privilege, PII, and obligation tracking all rest on attorneys' memory and spreadsheets. That's a Frankenstack.

📄
Documents Everywhere

Contracts, briefs, and correspondence scattered across DMS, email, file shares, and CLM. Finding a clause takes hours.

60%
Of legal time spent searching, not practicing
Manual Obligation Tracking

Renewals, change-of-control, MFN clauses, and deadlines tracked in spreadsheets. Missed one is a material event.

~30%
Of contracts have obligations no one tracks
🚨
Privilege & PII Risk

Privileged content and PII leak across discovery and AI tooling. Most AI vendors require data egress — non-starter.

$10M+
Avg. cost of a major eDiscovery sanction
You don't have a legal technology data system. You have a Frankenstack.
How xAQUA Works for Legal Technology

Your Data Stays Where It Lives.
The Intelligence Comes to You.

xAQUA connects to your existing legal technology systems and unifies them through a shared semantic layer — without copying or storing a byte.

YOUR DATA SOURCES xAQUA SEMANTIC LAYER BUSINESS OUTCOMES DMS / KM iManage · NetDocs · SharePoint CLM Ironclad · Agiloft · Apttus · Conga Matter / Time Aderant · Elite · Intapp · Clio eDiscovery Relativity · Reveal · Logikcull Email Archives Mailbox · journaling · M365 Regulatory SEC · FCA · DOJ · sanctions x xAQUA 🐶 Cezu AI concierge — routes intent to right agent 🧠 Six AI Data Agents Steward · Governance · Analyst · Engineer · Scientist · BI 📚 Shared Semantic Layer Unified business definitions, metrics, glossary AI Execution Engine GPT-OSS · embeddings · query planner 🔒 Governance & Trust PII masking · audit trail · RBAC · lineage Contract IQ Clause extraction, obligation tracking eDiscovery Faster review, defensible workflow Risk & Comp. Regulatory monitoring, evidence gathering Legal Ops Spend, matter, vendor, productivity xAQUA stores nothing — your data stays where it lives. The semantic layer makes it conversational.
Your AI Data Team

Six Agents. One Mission.

Each agent is a full-powered application — not a chatbot. They share one semantic layer, so what one agent learns about your data, every other agent knows.

Six AI Agents. One Mission. Your Legal Technology Data Team. Each agent is a full-powered application — and they share one semantic layer. ⚖️ Legal Technology Shared semantic layer Plain-English in. Reliable execution out. ASK · ANALYZE · ACT 🧠 AI Data Steward Your data expert. Ask anything. FOR LEGAL TECHNOLOGY • Matter-centric knowledge graph• Clause + precedent library 🛡️ AI Data Governance Quality. Privacy. Trust. FOR LEGAL TECHNOLOGY • Privilege protection · PII redaction• Chain of custody · ethical wall 📊 AI Data Analyst Ask. Prepare. Analyze. Act. FOR LEGAL TECHNOLOGY • Plain-English contract & matter queries• Cross-document risk analysis 🔧 AI Data Engineer Pipelines from natural language. FOR LEGAL TECHNOLOGY • DMS · CLM · matter pipelines• eDiscovery data prep 🧪 AI Data Scientist Models, predictions, insight. FOR LEGAL TECHNOLOGY • Outcome prediction · pricing models• Anomaly detection in contracts 📈 AI BI Specialist Dashboards & narratives. FOR LEGAL TECHNOLOGY • Spend & matter dashboards• Auto-narrated executive reports
What You Can Do

Built for Legal Technology.

Real workflows that legal technology teams run every day — now conversational, reliable, and fully governed.

📋
M&A Due Diligence

Extract key terms from thousands of contracts in hours. Surface change-of-control, MFN, and indemnity exposure.

eDiscovery Acceleration

AI-powered review across DMS, email, and chat. Privilege detection and defensibility built in.

📜
Contract Lifecycle

Track renewals, obligations, MFN, and SLAs across the full contract portfolio.

🏛️
Regulatory Monitoring

Watch for SEC/FCA/sanctions changes and flag impact on existing matters and policies.

🔐
Privilege & PII Protection

Detect privileged content and PII automatically across every document repository.

📈
Legal Operations

Spend, matter velocity, vendor performance — all answerable in plain English.

The Architecture

Sits on Your Stack. Stores Nothing.

xAQUA is the conversational and semantic layer above your existing legal technology data platforms — your data never leaves your environment.

👤 PLAIN-ENGLISH REQUEST "Find contracts with change-of-control expiring Q1 2026" x xAQUA Compound AI Data Platform · sits on your stack · stores nothing 🗣️ Conversational Layer
Cezu · 23-route intent classifier · plain-English routing
🧠 Shared Semantic Layer
Unified business definitions, metrics, glossary across agents
AI Execution Engine
Six AI agents · query planner · text-to-SQL · ML pipelines
🔒 Governance & Trust
PII masking · RBAC · audit · lineage · tenant isolation
YOUR EXISTING DATA STACK · UNCHANGED · UNCOPIED 📄 DMS iManage · NetDocs · SharePoint 📜 CLM Ironclad · Agiloft · Conga ⚖️ Matter / Time Aderant · Elite · Intapp 🔍 eDiscovery Relativity · Reveal ☁️ Cloud Warehouse Snowflake · Databricks · BigQuery 📊 BI Tools Tableau · Power BI · Looker ZERO DATA STORED PLAIN-ENGLISH IN
Built for Regulated Workloads

Compliance by Construction.

Every query is governed. Every action leaves an auditable trail. Every piece of data has lineage. Built for how regulators ask, not how vendors describe.

Attorney-Client PrivilegeGDPR / CCPASEC / FCADOJ / FCPASanctions (OFAC)ABA Model RulesSedona ConferenceEU AI Act
Measurable Impact

Outcomes That Compound.

Augment your existing teams. Cut cycle time. Replace disconnected tools. Ship reliable AI in production.

80%
Faster document review
60%
Lower discovery cost
100%
Privilege protection across pipeline
Hours
Contract obligation extraction

Ready to Augment Your Legal Team?

See how xAQUA's AI Data Team works alongside your DMS, CLM, and matter systems — making contracts, discovery, and obligations conversational.