Forward to: Litigation Team

Litigation Intelligence
Workflows

Ten agent workflows for the Litigation Team — opposing party web presence analysis, corporate relationship mapping, digital evidence discovery, witness identification, damages calculation support, class action member identification, expert witness research, litigation timeline construction, settlement intelligence, and jurisdictional analysis — providing domain-level intelligence that strengthens case strategy and preparation.

1Opposing Party Digital Footprint Analysis

AI agent maps the complete digital presence of opposing parties in litigation — analyzing all associated domains, corporate relationships, and web presence changes to build comprehensive intelligence for case strategy.

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Map Opposing Party's Web Properties
/about /products /leadership /legal Domain Ages Countries
OPPOSING PARTY ANALYSIS — GLOBALTECH SOLUTIONS INC. ════════════════════════════════════════════════════════════ CASE: Smith Corp v. GlobalTech Solutions (Patent Infringement) DOMAINS DISCOVERED: 18 (defendant disclosed 7) globaltech-solutions.com — Primary corporate site /about: Claims founded 2015, 450 employees /products: 6 product lines listed | Product B matches patent claims /leadership: 7 executives | CEO since founding /legal: Standard T&Cs, arbitration clause globaltech-labs.io — UNDISCLOSED R&D subsidiary /about: "Advanced research division of GlobalTech" /blog: Technical blog with 5 posts describing patented methodology /careers: 12 R&D positions | /docs: Technical whitepapers EVIDENCE: Blog posts may constitute prior knowledge of patent gt-asia-manufacturing.com — UNDISCLOSED manufacturing entity /about: "GlobalTech Manufacturing (Shenzhen) Ltd" /products: Manufacturing capabilities matching infringing products EVIDENCE: Establishes manufacturing chain for infringing products
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Identify Evidence from Web Presence
Litigation Evidence
Prior Knowledge Evidence — globaltech-labs.io /blog contains 5 technical posts published between March-June 2024 describing methodologies identical to our client's patented process. Posts predate defendant's product launch by 8 months, establishing prior knowledge of the technology and potential willful infringement.
CRITICAL EVIDENCE — Willful infringement indicator
Corporate Structure
Undisclosed Manufacturing — gt-asia-manufacturing.com reveals Shenzhen manufacturing operation not disclosed in discovery. This entity is likely producing the infringing products and may expose additional damages claims and jurisdictional arguments.
DISCOVERY GAP — 11 undisclosed entities found
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Track Web Presence Changes During Litigation
Opposing Party Web Changes Since Filing
2025-09-15 Lawsuit filed — Smith Corp v. GlobalTech Solutions
2025-09-22 globaltech-labs.io /blog — 3 technical posts removed
2025-10-05 /products page modified — Product B description altered
2025-11-12 gt-asia-manufacturing.com taken offline entirely
2026-01-08 /leadership removed CTO who authored infringing blog posts
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Generate Litigation Intelligence Report

Litigation Intelligence Report

KEY FINDINGS ──────────────────────────────────────── Undisclosed entities: 11 domains not in discovery Evidence of prior knowledge: Blog posts on R&D subsidiary Spoliation concern: 4 instances of web content removal post-filing Manufacturing chain: Undisclosed Shenzhen operation RECOMMENDED LEGAL ACTIONS 1. File motion to compel discovery of all 18 domains 2. Seek spoliation sanctions for removed blog posts 3. Subpoena web archive records for deleted content 4. Use prior knowledge evidence for willful infringement claim

2Corporate Relationship & Alter Ego Analysis

AI agent maps corporate relationships through shared domain infrastructure, overlapping leadership, and connected web properties to identify alter ego relationships, pierce corporate veils, and establish liability chains.

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Map Corporate Interconnections
/leadership /about /legal /investors Countries Domain Ages
CORPORATE RELATIONSHIP MAP — DEFENDANT NETWORK ════════════════════════════════════════════════════════════ ENTITY CLUSTER DISCOVERED: defendant-corp.com → CEO: John Smith smith-holdings-llc.com → /leadership: John Smith, sole member pacific-trading-group.com → /about: "A Smith Holdings company" coastal-assets-mgmt.com → /leadership: John Smith, Managing Partner smith-family-trust.org → /about: References "Smith Holdings" assets SHARED INFRASTRUCTURE: Same registrar (GoDaddy) | Same hosting IP range /legal pages share identical arbitration language /contact pages share same phone number on 3 domains All domains registered within 18-month window ALTER EGO INDICATORS: Shared leadership across all entities Commingled digital infrastructure Identical legal terms suggest shared legal counsel No independent governance structures visible
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Assess Veil-Piercing Evidence
Alter Ego Analysis
Strong Alter Ego Evidence — 5 entities share identical digital infrastructure, leadership, and legal language. Domain intelligence reveals no independent governance structures. Combined with shared contact information and sequential registration dates, this supports alter ego theory for veil piercing to reach assets held in Smith Holdings and Coastal Assets Management.
STRONG — Sufficient basis for alter ego motion
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Generate Corporate Relationship Report

Corporate Relationship Analysis

ALTER EGO FINDINGS ──────────────────────────────────────── Entities discovered: 5 | Shared leadership: John Smith (all 5) Shared infrastructure: 100% | Independent governance: None detected Commingled assets: Strong indicators from domain analysis LITIGATION STRATEGY 1. File alter ego motion against Smith Holdings LLC 2. Seek asset freeze across all connected entities 3. Subpoena records for all 5 entities 4. Domain evidence supports veil-piercing argument

3Damages Assessment Intelligence

AI agent analyzes opposing party's digital presence to support damages calculations — using pricing pages, product scope, market reach, and competitive positioning data to build evidence for economic harm quantification.

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Quantify Market Impact from Domain Data
/pricing /products /case-studies OpenPageRank IAB Categories Personas
DAMAGES INTELLIGENCE — INFRINGEMENT REVENUE ESTIMATION ════════════════════════════════════════════════════════════ DEFENDANT'S INFRINGING PRODUCT SCOPE: defendant-corp.com /pricing: Enterprise tier: $2,500/month (matches infringing product) Mid-market tier: $800/month /case-studies: 14 enterprise customers named /partners: 8 reseller partners (each likely generating revenue) MARKET REACH ESTIMATION: PageRank: 6.2/10 — substantial market presence Personas: Enterprise IT, Mid-market CTO, Developer teams /careers: 23 sales positions — indicates active go-to-market Geographic reach: US, UK, Germany, Japan (4 country domains) REVENUE ESTIMATION: 14 named enterprise customers x $2,500/mo = $420K/year visible Estimated total customers (PageRank model): 200-400 accounts Estimated infringing product revenue: $6M-$12M annually
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Generate Damages Support Report

Damages Assessment Intelligence

REVENUE ESTIMATION FROM DOMAIN INTELLIGENCE ──────────────────────────────────────── Visible enterprise customers: 14 (from /case-studies) Estimated total customers: 200-400 (PageRank/market model) Pricing range: $800-$2,500/month per account Estimated annual revenue from infringing product: $6M-$12M Estimated total damages (3-year period): $18M-$36M SUPPORTING EVIDENCE 1. /pricing page screenshots for rate card evidence 2. /case-studies for customer identification 3. /careers sales headcount for go-to-market investment 4. Geographic domain presence for market scope

4Class Action Member Identification

AI agent identifies potential class members by analyzing domain intelligence across affected industry sectors — finding companies with similar characteristics to named plaintiffs using IAB categories, personas, and product page analysis.

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Identify Potential Class Members by Sector
/products /about /partners IAB Categories Personas Countries
CLASS MEMBER IDENTIFICATION — ANTICOMPETITIVE PRICING CASE ════════════════════════════════════════════════════════════ CASE: Re: Widgets Industry Antitrust Litigation CLASS DEFINITION: US companies purchasing industrial widgets 2022-2025 DEFENDANT: WidgetCorp (market share ~60%) CLASS MEMBER DISCOVERY: IAB filter: Manufacturing, Industrial Equipment /products filter: References "industrial widgets" or "widget components" /about filter: US-based companies Potential class members identified: 847 companies With active /products pages referencing widgets: 423 With defendant listed on /partners page: 189 (direct purchasers) Geographic distribution: 38 states represented TOP AFFECTED COMPANIES (by PageRank — proxy for size): national-manufacturing.com PageRank: 7.4 | /partners lists WidgetCorp precision-industrial.com PageRank: 6.8 | /products: heavy widget dependency midwest-assembly-corp.com PageRank: 5.9 | /about: $200M revenue
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Quantify Class Size & Impact
Class Scope
847 Potential Class Members — Domain intelligence identified 847 US manufacturing companies with widget purchasing indicators. 189 show direct purchasing relationship via /partners page listing. Combined PageRank analysis suggests aggregate purchasing volume supports damages in the $200M-$400M range.
SUBSTANTIAL CLASS — 847 members across 38 states
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Generate Class Certification Support Report

Class Member Analysis Report

CLASS COMPOSITION ──────────────────────────────────────── Potential members: 847 | Direct purchasers verified: 189 States represented: 38 | Sector: Manufacturing Estimated aggregate damages: $200M-$400M CLASS CERTIFICATION SUPPORT 1. Numerosity: 847 members satisfies threshold 2. Commonality: All purchased from same defendant 3. Typicality: Similar industry, similar harm patterns 4. Domain data provides objective class identification method

5Expert Witness & Consulting Intelligence

AI agent identifies and profiles potential expert witnesses by analyzing academic, consulting, and professional domains — evaluating expertise depth, publication history, and potential conflicts of interest.

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Identify Domain Experts by Sector
/about /blog /events /case-studies IAB Categories OpenPageRank
EXPERT WITNESS SEARCH — PATENT VALUATION SPECIALISTS ════════════════════════════════════════════════════════════ EXPERTISE NEEDED: Software patent valuation, damages methodology CANDIDATES IDENTIFIED: 12 ipvaluation-experts.com PageRank: 5.4 /about: Dr. Sarah Chen, 20 years patent valuation experience /case-studies: 45 prior engagements listed (federal courts) /blog: 28 published articles on FRAND licensing /events: Speaker at 6 IP conferences in 2025 STRONG CANDIDATE — Extensive federal court experience techeconomics-consulting.com PageRank: 4.8 /about: Prof. Michael Torres, Stanford Economics /blog: Academic papers on software patent damages /partners: Lists defendant's law firm as client CONFLICT — Prior relationship with opposing counsel
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Screen for Conflicts of Interest
Conflict Detection
Prof. Torres Conflict — techeconomics-consulting.com /partners page lists "Morrison & Associates LLP" (defendant's counsel) as a client. /case-studies references 3 prior engagements with defendant's parent company. This expert would be disqualified due to existing relationship with opposing party.
DISQUALIFIED — Prior client relationship with defendant's counsel
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Generate Expert Witness Shortlist

Expert Witness Intelligence Report

SHORTLIST ──────────────────────────────────────── Candidates screened: 12 | Qualified: 8 | Conflicts: 3 | Declined: 1 TOP RECOMMENDATION Dr. Sarah Chen — ipvaluation-experts.com Expertise: Software patent valuation (20 years) Prior testimony: 45 federal court engagements Conflicts: None detected via domain analysis Publications: 28 articles, 6 conference presentations (2025)

6Settlement Intelligence & Leverage Analysis

AI agent assesses opposing party's settlement posture by analyzing financial health signals, leadership changes, litigation exposure across other cases, and business pressure indicators from domain intelligence.

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Assess Opposing Party's Financial Pressure
/investors /careers /press /leadership OpenPageRank Domain Ages
SETTLEMENT LEVERAGE ANALYSIS — OPPOSING PARTY ════════════════════════════════════════════════════════════ FINANCIAL DISTRESS INDICATORS: defendant-corp.com /careers: Reduced from 89 to 31 positions (-65%) /investors: Delayed Q4 earnings report by 3 weeks /leadership: CFO departed, interim CFO appointed /press: No press releases in 120 days PageRank: Declined 5.8 to 4.2 in 6 months /pricing: Added aggressive discount tier — cash flow pressure ADDITIONAL LITIGATION EXPOSURE: /legal: Terms updated to limit liability — defensive posture Cross-referencing: 3 other lawsuits filed by different plaintiffs Multi-front litigation likely straining legal budget
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Generate Settlement Strategy Report

Settlement Intelligence Report

SETTLEMENT LEVERAGE ASSESSMENT ──────────────────────────────────────── Financial pressure: HIGH (layoffs, CFO departure, earnings delay) Litigation exposure: HIGH (3 additional pending cases) Business trajectory: DECLINING (PageRank, careers, press activity) Settlement probability: 72% within next 90 days NEGOTIATION STRATEGY 1. Financial pressure creates urgency — push for early resolution 2. Multi-front litigation limits opponent's legal resources 3. Declining business may reduce available settlement funds 4. Domain signals suggest opponent cannot sustain prolonged litigation

7Jurisdictional Analysis & Forum Shopping Intelligence

AI agent analyzes opposing party's geographic presence through domain intelligence to identify optimal jurisdiction for filing, establish minimum contacts for personal jurisdiction, and support venue selection strategy.

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Map Jurisdictional Contacts
/contact /about /careers /events Countries Personas
JURISDICTIONAL CONTACT ANALYSIS ════════════════════════════════════════════════════════════ DEFENDANT: TechVentures Inc. (incorporated in Delaware) PREFERRED JURISDICTION: Northern District of California MINIMUM CONTACTS — CALIFORNIA: techventures.com /contact: San Francisco office listed | Phone: (415) area code /careers: 18 positions in "San Francisco, CA" /events: 4 California-based conferences attended in 2025 /about: "With offices across the Bay Area" Personas: California-based enterprise customers targeted MINIMUM CONTACTS — TEXAS (alternative): techventures-south.com /contact: Austin office listed /careers: 6 positions in Austin, TX /events: 2 Texas conferences STRONGEST CONTACTS: Northern District of California 18 job postings + physical office + customer targeting = continuous contacts
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Generate Jurisdictional Memorandum Support

Jurisdictional Analysis Report

PERSONAL JURISDICTION EVIDENCE ──────────────────────────────────────── Recommended forum: N.D. California (San Francisco) Minimum contacts: STRONG — Physical office, 18 employees, events Alternative: E.D. Texas (Austin office, 6 employees) DOMAIN EVIDENCE FOR JURISDICTION BRIEF 1. /contact page: San Francisco office address 2. /careers: 18 California job postings — continuous employment 3. /events: Regular California conference participation 4. Personas: Targeting California enterprise customers

8Witness Identification & Background Research

AI agent identifies potential witnesses by analyzing corporate leadership pages, blog contributors, event speakers, and employee directories across relevant domains to build comprehensive witness profiles for deposition planning.

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Identify Key Witnesses from Domain Data
/leadership /blog /events /press Personas
WITNESS IDENTIFICATION — CONTRACT DISPUTE CASE ════════════════════════════════════════════════════════════ KEY PERSONNEL IDENTIFIED: From /leadership page: VP of Business Development (contract signatory likely) General Counsel (legal review authority) CTO (technical specifications discussed in contract) From /blog page: Senior Product Manager — authored 3 posts referencing the disputed project Engineering Director — technical blog post contradicts defendant's position From /events page: VP Sales spoke at industry conference about the disputed technology "Keynote: How We Built [Disputed Product]" — recorded presentation From /press page: CEO quoted in press release about the partnership (now disputed) "This partnership represents our strategic commitment" — CEO quote
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Generate Witness Intelligence Report

Witness Intelligence Report

WITNESS PRIORITY LIST ──────────────────────────────────────── 1. Engineering Director — blog post contradicts defendant's position 2. CEO — press release quotes establish commitment 3. VP Sales — conference presentation about disputed technology 4. Senior Product Manager — blog posts reference disputed project 5. VP Business Development — likely contract signatory DEPOSITION PREPARATION Each witness profile includes web-sourced statements for impeachment Blog posts and press quotes preserved for evidence

9Litigation Timeline & Evidence Mapping

AI agent constructs comprehensive litigation timelines by tracking domain changes, page additions and removals, leadership transitions, and corporate events to establish chronological narratives for trial preparation.

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Build Chronological Event Timeline
/products /press /blog /leadership Domain Ages Web Filtering
Litigation Timeline — Trade Secret Misappropriation
2024-03-15 Defendant's CTO departs plaintiff company (from plaintiff /leadership change)
2024-04-02 defendant-newco.com domain registered (18 days after departure)
2024-05-10 /products page launched with product remarkably similar to plaintiff's
2024-06-28 /blog post describes proprietary methodology matching plaintiff's trade secrets
2024-08-14 /pricing page launched — undercutting plaintiff's pricing by 40%
2024-10-30 /careers page: Hiring from plaintiff's customer success team
2025-01-22 /case-studies: Features 3 of plaintiff's former customers
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Generate Trial Timeline Exhibit

Litigation Timeline Analysis

CHRONOLOGICAL EVIDENCE SUMMARY ──────────────────────────────────────── Timeline span: 10 months (departure to customer solicitation) Key events: 7 domain-intelligence-verified milestones Pattern: Systematic trade secret exploitation TRIAL NARRATIVE SUPPORT 1. 18-day domain registration shows premeditation 2. Product similarity within 2 months of departure 3. Blog post describes trade secret methodology 4. Pricing undercut targets plaintiff's customer base 5. Customer solicitation within 10 months

10Litigation Risk Assessment & Portfolio Analysis

AI agent monitors the firm's litigation portfolio and assesses case viability by analyzing opposing parties' digital health, financial capacity to litigate, and settlement patterns to optimize resource allocation across active cases.

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Score Active Cases by Opposing Party Health
/investors /careers /leadership /press OpenPageRank Domain Ages
LITIGATION PORTFOLIO RISK ASSESSMENT — 24 ACTIVE CASES ════════════════════════════════════════════════════════════ HIGH PRIORITY — OPPONENT WEAKENING: Case #12: v. DataStream Inc — 80% layoff signal, CFO departed Case #18: v. CloudPeak — PageRank dropped 60%, domain expiring RECOMMENDATION: Push for settlement, opponent cannot sustain litigation MEDIUM PRIORITY — STABLE OPPONENTS: Case #3: v. TechGlobal — Digital health stable, strong war chest Case #7: v. InnovateCo — Slight decline but adequate resources LOW PRIORITY — STRONG OPPONENTS: Case #1: v. MegaCorp — PageRank 8.4, 2,000+ careers, growing Case #5: v. FortuneTech — Fortune 500, unlimited litigation budget RECOMMENDATION: Consider ADR for well-resourced opponents
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Generate Portfolio Optimization Report

Litigation Portfolio Analysis

PORTFOLIO OPTIMIZATION ──────────────────────────────────────── Active cases: 24 | Priority settlement candidates: 2 Stable opponents: 12 | Strong opponents: 10 RESOURCE ALLOCATION RECOMMENDATIONS 1. Cases #12, #18: Accelerate — opponents weakening rapidly 2. Cases #3, #7: Standard pace — monitor for changes 3. Cases #1, #5: Consider mediation — opponent can outlast 4. Domain health monitoring provides continuous intelligence 5. Weekly updates on opponent digital health across all 24 cases
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