Legal Industry Solution¶
Archivus transforms legal practice with AI-powered contract analysis, case research, and document automation designed specifically for law firms and corporate legal departments.
Key Benefits¶
- 70% faster contract review with AI-powered analysis
- Zero missed deadlines with automated tracking and alerts
- 100% audit trail for compliance and privilege
- 10x faster case research against firm precedent library
Core Use Cases¶
1. Contract Review and Analysis¶
Challenge: Partners spend hours reviewing contracts while clients demand faster turnaround without sacrificing quality.
Archivus Solution:
Automated contract review pipeline:
- Document Upload - Contract received via email or upload
- AI Extraction - Extract parties, obligations, dates, payment terms
- Template Comparison - Compare against firm standard template
- Risk Assessment - AI identifies non-standard clauses and risks
- Partner Review - High-risk contracts routed for partner approval
- Client Delivery - Approved contracts filed with automated client notification
Workflow Configuration:
name: contract_review_pipeline
trigger: document_classification
conditions:
- document_type: CONTRACT
nodes:
- id: extract_terms
type: ai_extract
config:
fields:
- parties
- effective_date
- term_length
- payment_terms
- obligations
- termination_clauses
- id: compare_template
type: ai_compare
config:
template_id: standard_contract_v3
focus: deviations
- id: risk_assessment
type: ai_analyze
config:
prompt: "Identify unusual or high-risk clauses"
- id: risk_branch
type: conditional
config:
condition: risk_score > 70
- id: partner_review
type: human_approval
config:
assigned_to: partner
timeout: 24h
include_context: [extracted_terms, risk_analysis]
- id: file_contract
type: action_store
config:
destination: "/Contracts/Active/{client_name}"
notify: client_contact
Results:
- Contract review time: 4 hours → 45 minutes
- Partner focus on high-risk items only
- Complete audit trail for malpractice protection
- Consistent analysis across all contracts
2. Case Research and Precedent Discovery¶
Challenge: Associates spend 15+ hours researching precedents, analyzing similar cases, and drafting initial memoranda.
Archivus Solution:
Archie AI powered by firm's Knowledge Graph:
Associate: "What defenses did we use in similar breach of
contract cases involving force majeure?"
Archie: Based on 14 similar cases in your matter database:
PRIMARY DEFENSE STRATEGY (used in 11 of 14 cases):
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. Impossibility of Performance (9 cases, 78% success)
- Source: Smith v. Johnson (2023) - Won summary judgment
- Source: Acme Corp v. Vendor Inc (2024) - Settled favorably
- Key language: [Section 12.1, Force Majeure clause]
2. Commercial Impracticability (8 cases, 62% success)
- Source: Tech Co v. Supplier (2024) - Won at trial
- Citations: UCC § 2-615, Restatement (Second) § 261
3. Frustration of Purpose (5 cases, 60% success)
- Source: Real Estate Partners v. Developer (2023)
JUDICIAL PREFERENCES:
- Judge Harrison (your case): Favors impossibility over
impracticability (granted in 4 of 5 cases)
- Requires specific evidence of unforeseen circumstances
RECOMMENDED BRIEF STRUCTURE:
[Based on highest-winning brief: Smith v. Johnson]
Would you like me to pull full briefs, draft argument
outline, or find recent appellate decisions?
Results:
- Case research time: 15 hours → 3 hours
- Higher quality with firm-wide precedent knowledge
- No reliance on overturned cases
- Consistent citation format
3. Discovery Document Processing¶
Challenge: Process thousands of discovery documents efficiently while maintaining privilege and producing required logs.
Archivus Solution:
Automated discovery workflow:
- Bulk Upload - Production received (10,000+ documents)
- Privilege Review - AI flags potential privileged communications
- Relevance Classification - Sort by issue/topic using AI
- Issue Tagging - Apply case-specific tags automatically
- Privilege Log Generation - Auto-generate privilege log for review
Privilege Detection:
- id: privilege_detection
type: ai_analyze
config:
focus: attorney_client_privilege
flags:
- attorney_communications
- work_product
- confidential_legal_advice
- id: human_review
type: human_review
config:
assigned_to: associate
instructions: "Review AI privilege determinations"
show_confidence_scores: true
Results:
- Discovery review: 40% faster than manual process
- Higher consistency in privilege determinations
- Automated privilege log generation
- Complete audit trail for production
4. Deadline Tracking and Calendar Management¶
Challenge: Missing filing deadlines can result in malpractice claims and client dissatisfaction.
Archivus Solution:
Automated deadline extraction and tracking:
name: deadline_tracking
trigger: document_classification
conditions:
- document_type: [COURT_ORDER, COMPLAINT, MOTION]
nodes:
- id: extract_deadlines
type: ai_extract
config:
fields:
- filing_deadlines
- response_deadlines
- hearing_dates
- discovery_cutoffs
- id: calculate_reminders
type: transform
config:
create_reminders:
- 30_days_before
- 14_days_before
- 7_days_before
- 3_days_before
- id: notify_team
type: action_notify
config:
channels: [email, slack, calendar]
assigned_to: case_team
priority: high
- id: calendar_integration
type: mcp_tool
config:
server: google_calendar
tool: create_event
params:
title: "Deadline: {{deadline_description}}"
date: "{{deadline_date}}"
reminders: [30d, 7d, 1d]
Results:
- Zero missed deadlines since implementation
- Automatic calendar integration
- Multi-level reminder system
- Complete deadline audit trail
Legal-Specific Features¶
Matter-Centric Organization¶
Hierarchy:
Law Firm (Organization)
├── Corporate Law (Workspace)
│ ├── Merger 2026 - Acme Corp (Matter/Project)
│ ├── Securities Filing - TechCo (Matter/Project)
│ └── Board Advisory - FinCo (Matter/Project)
├── Litigation (Workspace)
│ ├── Smith v. Jones (Matter/Project)
│ └── Patent Defense - InnoTech (Matter/Project)
└── Client Contracts (Workspace)
Conflict Checking Integration¶
MCP Integration with Conflicts Database:
- id: conflict_check
type: mcp_tool
config:
server: conflicts_database
tool: check_conflicts
params:
client_name: "{{extracted_client}}"
opposing_parties: "{{extracted_opposing}}"
matter_type: "{{matter_type}}"
Time Entry Integration¶
Automatic Time Tracking:
- AI operations logged with time estimates
- Document review time tracked
- Research time captured
- Export to billing systems
Confidentiality and Privilege¶
Built-in Protections:
- Attorney-client privilege detection
- Work product identification
- Confidential designation enforcement
- Privilege log generation
Legal Industry Integrations¶
Practice Management:
- Clio
- MyCase
- PracticePanther
- Smokeball
E-Discovery:
- Relativity
- Everlaw
- Logikcull
- Reveal
Document Management:
- NetDocuments
- iManage
- SharePoint
- Worldox
Billing Systems:
- TimeSolv
- Bill4Time
- CosmoLex
Compliance and Security¶
Bar Association Requirements:
- State bar data security compliance
- Client confidentiality enforcement
- Malpractice insurance requirements
- Ethics rules compliance (ABA Model Rules)
Encryption:
- End-to-end encryption for privileged communications
- At-rest encryption (AES-256)
- In-transit encryption (TLS 1.3)
Audit Trails:
- Complete access logging
- Document version history
- User action tracking
- Privilege assertion records
Pricing for Law Firms¶
Starter (Solo/Small Firm):
- 1-5 attorneys: $99-249/month per attorney
- AI-powered research and drafting
- Basic matter management
- Essential integrations
Team (Mid-Size Firm):
- 10-50 attorneys: $179-299/month per attorney
- Advanced workflows
- Practice management integration
- Dedicated support
Enterprise (Large Firm):
- 50+ attorneys: Custom pricing
- White-label option
- Multi-office deployment
- Knowledge Graph and AI research
- Custom integrations
- 24/7 support with SLA
Implementation Timeline¶
Week 1-2: Discovery
- Matter type analysis
- Document workflow mapping
- Integration requirements
- Security and compliance review
Week 3-4: Configuration
- Matter templates setup
- Workflow configuration
- Integration testing
- User training preparation
Week 5-6: Pilot
- 2-3 matters for testing
- Workflow refinement
- User feedback collection
- Performance optimization
Week 7-8: Rollout
- Firm-wide deployment
- Attorney and staff training
- Go-live support
- Continuous improvement
Success Stories¶
Mid-Size Litigation Boutique (25 Attorneys)¶
Results After 6 Months:
- Discovery review time: -45%
- Case research time: -60%
- Deadline tracking: 100% (zero misses)
- Client satisfaction: +32%
- Annual savings: $425,000
Corporate Law Department (Fortune 500)¶
Results After 1 Year:
- Contract review capacity: +75%
- Outside counsel costs: -40%
- Compliance audit: Zero findings
- Time to contract execution: -65%
Getting Started¶
- Schedule Legal-Specific Demo: See contract review and case research in action
- Matter Assessment: Analyze 10-20 sample matters
- Pilot Program: 30-60 days with 1-2 practice areas
- Firm-Wide Rollout: 6-8 week implementation
- Ongoing Training: Monthly best practices and new features