EvidenceOS
AI-powered evidence management for legal and business disputes
The Problem
Legal professionals spend 40% of their time manually organizing evidence, searching through documents for contradictions, and building case timelines by hand.
Solicitors at SME law firms, claims adjusters at insurance companies, HR departments handling workplace disputes, and independent legal consultants.
Excel spreadsheets, paper files with sticky notes, generic document management systems not built for legal evidence, or expensive enterprise solutions.
£50,000+ per year in wasted billable hours for a small firm. Missed contradictions can cost cases worth hundreds of thousands.
The Solution
Upload your case documents and the AI automatically extracts entities (people, places, dates), builds a timeline, detects contradictions, and gives you a case readiness score.
Purpose-built for legal evidence with AI that understands legal context. Not a generic document manager with AI bolted on.
Key Features
| Feature | What it does | Why it matters |
|---|---|---|
| [object Object] | Automatically creates chronological case timelines from documents | Hours of manual work done in minutes |
| [object Object] | Identifies people, places, dates across all documents | Never miss a key detail |
| [object Object] | Flags conflicting statements across documents | Strengthen your case arguments |
| [object Object] | AI assessment of evidence completeness | Know when you're ready for court |
| [object Object] | Ask questions about your case in natural language | Instant answers without searching |
| [object Object] | Generate formatted PDF bundles | Professional presentation every time |
The AI Explained
For non-technical people
Multi-agent AI system using large language models (similar to ChatGPT) specialized for legal document analysis.
An AI agent is like a digital employee that can read documents, make decisions, and take actions without being told exactly what to do each time. It learns what to look for.
The agents in this tool
| Agent Name | What it does | Human equivalent |
|---|---|---|
| Timeline Agent | Reads documents and places events in chronological order | Junior paralegal spending days on timeline |
| Entity Agent | Extracts and links people, places, dates, organizations | Data entry clerk cataloguing evidence |
| Contradiction Agent | Compares statements across documents for conflicts | Senior associate reviewing for inconsistencies |
Reading 500 pages and finding every contradiction, entity mention, and timeline event in 30 seconds instead of 3 days.
Employees this replaces (or augments)
| Role | Salary (UK avg) | What the AI does instead |
|---|---|---|
| Paralegal | £28,000/yr | Document organization and timeline building |
| Junior Associate | £45,000/yr | Initial evidence review and categorization |
Why I Built This
I liked Notebook LM but knew firms wouldn't want Google having all their information. The use case clicked when I heard about a lawyer who got put on a case with no time to go through it — they uploaded everything to an AI and asked questions that pulled out intricacies that would have taken weeks to research. AI can see patterns across years of emails and communications, like a detective with sticky notes on a wall, but in seconds.
I build faster than I can sell. This needs someone with legal industry connections who can get in front of law firms and demonstrate the value.
The standard tool for evidence management in every SME law firm in the UK, then expand to US and EU markets.
The Business Model
How it makes money
| Revenue stream | Price point | Who pays |
|---|---|---|
| Freemium tier | £0 (limited cases) | Individual users testing |
| Professional | £19.99/month | Solo practitioners |
| Firm license | £99-299/month | SME law firms |
Current status
[TOM: Current user count]
[TOM: Current MRR]
No
Yes
Revenue potential
Conservative: 100 firms × £99/mo = £118,800 ARR
Medium: 500 firms × £149/mo = £894,000 ARR
Comparable products charge: Relativity (enterprise) charges £50,000+/year. CaseMap charges £500+/user/year.
The Market
10,000+ SME law firms in UK alone. 50,000+ claims adjusters. Growing legal tech market valued at £15B globally.
AI capabilities have reached the point where legal document understanding is accurate enough for professional use. Post-pandemic digital adoption in legal sector.
Competition
| Competitor | Their price | Our advantage |
|---|---|---|
| Relativity | £50,000+/year | Affordable for SMEs, focused on evidence phase |
| CaseMap | £500+/user/year | AI-powered automation vs manual entry |
| Spreadsheets | £0 | Purpose-built, saves 10+ hours per case |
What's Already Built
Tech stack (plain English)
| Component | What it means | Why it matters |
|---|---|---|
| React | Modern web app framework | Fast, works on all devices |
| Supabase | Database + user accounts | Secure, scalable, affordable |
| Multi-agent AI | Multiple specialized AI workers | Each agent optimized for its task |
What's live
- •Evidence upload
- •AI Timeline Builder
- •Entity Extraction
- •Contradiction Detection
- •Case Readiness Score
- •PDF Export
What's ready but not launched
- •AI Case Chat
- •Team collaboration features
What's planned
- •Court bundle automation
- •Integration with practice management software
Deployment status
The Roles Needed
E-Myth Hats
This business needs these hats
| Hat | What they do | Hours/week | Could be same person as... |
|---|---|---|---|
| Sales | Demo to law firms, close deals, attend legal tech events | 15-25 | Ops |
| Ops | Onboard customers, handle support, gather feedback | 10-15 | Sales |
| Marketing | Content for legal blogs, LinkedIn presence, case studies | 5-10 | — |
1 person doing Sales + Ops, ideally with legal industry background
Sales skills transfer to VetSense AI (similar B2B SaaS model)
The Partnership Terms
15-30%
24 months
30-day trial period
Revenue milestones
Example milestone structure
| Milestone | Equity unlocked |
|---|---|
| First 10 paying customers | 5% |
| £1,000 MRR | +5% |
| £5,000 MRR | +10% |
| £10,000 MRR | +10% |
What Tom provides
- ✓All tech development and maintenance
- ✓Infrastructure costs (first 12 months)
- ✓Strategic input and product direction
- ✓Access to other portfolio projects
What you provide
- ✓Customers and revenue
- ✓Market feedback
- ✓Minimum 15 hours/week commitment
- ✓Legal industry knowledge or connections
Is This For You?
This is for you if...
- You have connections in the legal industry
- You've sold B2B SaaS or legal tech before
- You understand legal workflows and pain points
- You can commit 15+ hours/week
- You want equity, not salary
This is NOT for you if...
- You need income from day 1
- You have no legal industry experience or network
- You want to be told exactly what to do
- You're looking for passive investment
Someone who has worked in or sold to law firms, understands the pain of evidence management, and can pick up the phone to demo the product.
Getting Started
If you apply and we agree:
Week 1-2
- •Full product walkthrough
- •Access to all systems
- •Meet any existing users
- •Agree 30-day targets
Day 30 Review
- •Review targets
- •If hit: formalize equity agreement
- •If missed: honest conversation, extend or part ways
Month 2-6
- •Weekly check-ins
- •First milestone targets
- •Equity begins vesting
The Buzz
For non-technical people
This isn't a business idea. It's a working product. The hard part — building software that works — is done.
What you're actually getting:
- A tool that organizes 500 pages of evidence in 30 seconds instead of 3 days
- AI that acts like 2-3 paralegals working 24/7
- Tech that would cost £75,000+ to build from scratch
- A product ready to sell TODAY
Upload a 200-page case bundle, and in 30 seconds the AI shows you every contradiction, every key date, every person involved — with page references. What took days now takes seconds.
Law firms save 10+ hours per case. At £150/hour billable rates, that's £1,500 saved per case. For a firm handling 50 cases/year, that's £75,000 in recovered time.