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Enterprise Automation • Active

Pact: Legal Tech

Your AI contract analyst — extracts clauses, flags risks, tracks obligations, and compares terms across your entire contract portfolio.

Live system: Multi-agent RAG architecture with document intelligence pipeline. Contracts are ingested, chunked, and embedded into Azure AI Search for semantic retrieval. Spe…

90% faster
Review Time
97%
Clause Accuracy
99.2%
Risk Detection
75%
Cost Reduction
Free 20-min discovery + 48h ROI audit Production-grade, not a demo4 weeks to first value
✓
✓
✓
MVP with single-agent extraction • Fallback to rule-based extraction for edge cases • Borderline flagged
Why this vs status quo
Do nothing
90% faster lost
Manual Enterprise Automation
Build in-house
6–12 months
Hire + maintain
Pact
97%
Weeks, not months
Clause Extraction • Risk Flagging
Save ~10×

What ships

  • Clause Extraction — Automatically extract and categorize key clauses from contra…
  • Risk Flagging — AI identifies and scores contractual risks including indemni…
  • Obligation Tracking — Track and monitor contractual obligations, SLAs, and deadlin…
  • Term Comparison — Compare contract terms across versions and against standard …
  • RAG-Powered Q&A — Ask natural language questions about your contract portfolio…
  • Batch Processing — Process thousands of contracts simultaneously with parallel …

Human signs every critical step • Audit trail included

Sample output & architecture

Pact — Production Blueprint
Dated 18 Aug 2026 • #PAC-2026-041
Review Time: 90% fasterClause Accuracy: 97%Risk Detection: 99.2%Enterprise Automation
Agents
Extraction Agent • Risk Agent • Comparison Agent
Stack
Azure AI Foundry, Azure AI Search, Python, FastAPI
Workflow preview
1. Document Ingestion2. Document Classification3. Clause Extraction4. Risk Analysis
Data flow: Document Upload → OCR Processing → Chunking → Embedding → Vector Store → Agent Query → Risk Analysis → Report Generation
Azure AI Foundry + LangChain • Azure AI Foundry provides enterprise-grade LLM hosting with v1.0 • Audit trail

Why Azure AI Foundry + LangChain wins

Azure AI Foundry provides enterprise-grade LLM hosting with fine-tuning capabilities. LangChain orchestrates the multi-agent workflow with built-in RAG patterns and tool integration.

Alternatives: AWS Bedrock + LlamaIndex, GCP Vertex AI + Semantic Kernel

How Pact works — Instant to first value

Document Ingestion → Document Classification → Clause Extraction → delivery. Full 8-step trail collapses below.

01 • Instant
Document Ingestion
Upload contracts in PDF, DOCX, or scanned format. OCR extracts text from scanned documents.
02 • < 5 seconds
Document Classification
AI classifies contract type (NDA, MSA, SLA, Employment, etc.) and routes to appropriate extraction pipeline.
03 • < 30 seconds
Clause Extraction
Fine-tuned NLP models extract key clauses, terms, obligations, and metadata with high accuracy.
Full 8-step audit trail
1
Document Ingestion • Instant
Upload contracts in PDF, DOCX, or scanned format. OCR extracts text from scanned documents.
2
Document Classification • < 5 seconds
AI classifies contract type (NDA, MSA, SLA, Employment, etc.) and routes to appropriate extraction pipeline.
3
Clause Extraction • < 30 seconds
Fine-tuned NLP models extract key clauses, terms, obligations, and metadata with high accuracy.
4
Risk Analysis • < 1 minute
Extracted clauses are analyzed against risk patterns, scoring models, and compliance requirements.
5
Comparison & Review • < 2 minutes
Contract terms compared against templates, previous versions, and organizational standards.
6
Obligation Setup • < 1 minute
Deadlines, SLAs, and commitments are extracted and added to tracking with automated reminders.
7
Report Generation • < 3 minutes
Comprehensive contract analysis report with risk summary, key terms, and actionable recommendations.
8
Continuous Monitoring • Ongoing
Ongoing monitoring for obligation deadlines, renewal dates, and compliance status with alerts.

Which Enterprise Automation use case is yours?

Tap your model — see the exact hinge we test.

Legal Due Diligence

Accelerate M&A due diligence by automatically reviewing thousands of contracts for risks, obligations, and key terms.

Do nothing
90% faster wasted
  • • Manual Enterprise Automation process
  • • No audit trail
  • • No evidence for inspector/investor
Build in-house
6–12 months • Hire team
  • • Hire + train + maintain
  • • No re-run if product changes
  • • Hard to show investor quickly
Pact — 97%
8 steps • Agents • Evidence
  • Clause Extraction
  • Risk Flagging
  • Daily watch + re-run

Multi-agent mesh — orchestrated

Live system presentation

Pact · Agent Mesh

ORCHESTRATOREnterprise AutomationExtractionACTIVERiskNODE 02ComparisonNODE 03ObligationNODE 04QANODE 0512345678
Step 1Instant

Document Ingestion

Upload contracts in PDF, DOCX, or scanned format. OCR extracts text from scanned documents.

PDF parsingOCR processingFormat normalizationBatch upload

Objections, answered

If it’s not answered, you’ll hesitate. So we answer it here.

Your AI contract analyst — extracts clauses, flags risks, tracks obligations, and compares terms across your entire contract portfolio. Delivered as 5 specialized agents + 8-step workflow. You get Clause Extraction + Risk Flagging and a dated evidence trail.
Production in 4 weeks • Audit trail

Get Pact live — without the Enterprise Automation drag.

Your AI contract analyst — extracts clauses, flags risks, tracks obligations, and compares terms across your entire contract portfolio.… Implementation: Foundation → Core Intelligence → Multi-Agent Orchestration → Production Readiness.

Questions? Talk to a human • Responses in < 24h • Human signs every critical step

Evidence + audit trail•Azure AI Foundry + LangChain•Deterministic — LLM only for rationale