Reor: AI Forensic Reasoning for Legal Teams
Discover how Reor uses AI forensic reasoning to automate document review for litigation, insolvency, and M&A, turning complex data rooms into cited evidence.
CONFIDENTIAL INVESTOR PRESENTATION
Reor
Forensic reasoning for the legal stack.
Turn complex data rooms into evidence-backed answers in hours, not weeks.
Seeking £1.5m seed funding
May 2026
THE PROBLEM
The legal work that still runs on human reading.
Complex legal matters — disputes, insolvencies, M&A diligence, investigations — depend on legal teams reading thousands of documents. Board minutes, emails, contracts, recordings, correspondence. The bottleneck is not knowing which questions to ask. Partners know that. The bottleneck is finding every answer, across every document, fast enough to matter.
Junior associates spend weeks in data rooms. Evidence is fragmented. Key facts are buried. The most expensive lawyers in the room spend their time waiting for the document review to be done before the real work can begin.
240+
average hours spent on document review in a complex matter
£50k+
typical associate cost for a large document review
1 in 5
key facts missed in manual large-document reviews
THE PROBLEM
Expensive. Slow. Risky.
£
Expensive
Partner-led teams and junior associates spend weeks reviewing documents. At £300-£800/hour blended rates, large matter document review costs tens of thousands before any substantive work begins.
Human reading speed is the primary cost driver
Associates' time is consumed by discovery, not analysis
48h+
Slow
Timelines are constrained by human review speed. A 3,000-document data room can take 2-4 weeks to review meaningfully. In disputes and restructuring, time is not a luxury.
Critical decisions delayed by review cycles
Urgency of disputes demands faster answers
!
Risky
Missed evidence, unspotted contradictions and late-discovered documents change outcomes. Manual review at scale is inherently incomplete. One missed board minute or overlooked email can alter a case.
Key evidence buried across thousands of files
Fragmented sources — emails, contracts, recordings
MARKET TIMING
The category has been validated. The next layer is reasoning.
Harvey AI raised over $300m. Robin AI has built a credible contract review business. Legal AI is no longer a category risk — it is a category opportunity. Summarisation and drafting are now accepted. The next valuable layer is forensic reasoning: hypothesis-driven evidence analysis across entire matters.
Foundation models, OCR, long-context reasoning and secure enterprise deployment are now capable enough to support this. The infrastructure exists. What has been missing is the product and legal domain expertise to apply it to complex matter work.
Reor is built for this moment.
HARVEY AI
Raised $300m+. Proves enterprise legal AI is a viable, large-scale category.
ROBIN AI
Contract review and automation — already commercial. Proves law firms and in-house teams will pay for AI-assisted legal work.
FOUNDATION MODELS
Long-context reasoning, OCR pipelines and semantic search now production-ready for enterprise legal use cases.
REOR'S TIMING
Drafting and summarisation are commoditising. The defensible, high-value layer is forensic reasoning. That window is open now.
THE PRODUCT
A forensic reasoning engine for the legal stack.
Upload Data Room
Documents, emails, contracts, board notes, recordings, transcripts
Extract & Classify
OCR, per-document summary, entity/date/obligation tagging, red flag detection
Build Evidence Graph
Entities, people, companies, dates, obligations and events mapped and indexed
Pose Hypothesis
Legal team asks a question or states a forensic hypothesis
Receive Cited Answer
Timeline, evidence pack, supporting and contradictory sources, cited findings
Hypothesis-driven, not passive Q&A
Semantic search across entire corpus
Contradiction and inconsistency detection
Entity and relationship mapping
Timeline construction
Source citations back to original documents
Human-in-the-loop by design
Privilege and confidentiality aware
LIVE USE CASE
Product in practice.
Real matter. Real documents. Real findings.
In April 2026, Reor was used on a live complex legal matter involving a data room of approximately 3,000 documents — board minutes, emails, contracts, shareholder records and recordings.
Did certain investors act as creditors rather than shareholders, and is there evidence of a strategy to force administration or acquire control?
Reor processed the corpus, mapped entities, built a timeline and surfaced supporting and contradictory evidence — with source citations.
£8,000 revenue generated. £2,000/month expected ongoing.
Ingested and classified 3,000+ documents
Mapped entities: people, companies, dates, obligations
Built a timeline of investor, board and corporate events
Identified board notes, emails and contracts supporting the hypothesis
Produced a cited findings pack with contradictory evidence flagged
The output gave the legal team weeks of analysis in hours — with every finding traceable to source.
APPLICATIONS
Built for the most complex legal work.
Forensic Analysis
Patterns of behaviour, intent and control. Asset movement, related-party issues, collusion indicators and hidden relationships across large document sets.
Litigation Support
Chronology building, evidence mapping, claim support, contradiction discovery and witness preparation materials. Find the facts before opposing counsel does.
Insolvency and Restructuring
Director conduct analysis, creditor and shareholder mapping, administration preparation, disputed control and evidence of value destruction.
M&A and Investment Diligence
Ownership structures, IP commitments, change-of-control triggers, commercial dependencies and hidden regulatory or contractual risk.
Corporate Investigations
Internal investigations, whistleblower support, misconduct mapping, governance issues and board-level conduct review.
Complex Commercial Risk
Cascading obligations, contract dependencies, breach scenarios and exposure modelling across large commercial document portfolios.
In every case, the answer is distributed across hundreds or thousands of documents. Reor finds it.
TRACTION
Live revenue. Real product. Working use case.
This is not a prototype looking for a problem. It is a working product that has already earned revenue on a complex legal matter.
£8,000
Revenue in April 2026
From a single live complex legal matter
£2,000
Expected monthly recurring
From the same ongoing matter
~3,000
Documents processed
Board notes, emails, contracts and recordings in a live data room
1
Live complex matter
Forensic hypothesis tested, evidence mapped, findings produced
Working product, not slideware
OCR, extraction, entity mapping and citation engine operational
Legal hypothesis tested on a real insolvency/control dispute matter
Findings delivered to legal team with source citations
Senior legal contact in New York with visibility of the work
Potential to open US legal network and funding conversations
Spun out from GreenDoorAI Ltd to focus exclusively on legal/forensic AI
Founding team with combined AI engineering and enterprise commercial experience
COMPETITIVE POSITION
Reor is the forensic reasoning layer.
Existing tools solve drafting, summarisation and document search. None are built for hypothesis-driven forensic reasoning over complex matter corpora.
TOOL / CATEGORY
PRIMARY FOCUS
CORE STRENGTH
KEY GAP
REOR'S POSITION
Harvey AI
Broad legal AI platform
Drafting, research, enterprise workflow automation
Not designed for forensic hypothesis testing or evidence chain analysis
Category proof — enterprise legal AI works at scale
Robin AI
Contract review and lifecycle
Contract analysis, drafting, CLM
Contract-level intelligence, not matter-level forensic reasoning
Category proof — law firms pay for AI contract work
eDiscovery (Relativity, Nuix etc.)
Document review and production
Large-scale document processing and review management
Search and production, not reasoning or hypothesis testing
Complementary — Reor reasons over what eDiscovery surfaces
Generic LLM wrappers
Q&A and summarisation over documents
Fast, flexible, cheap
No evidence chains, no hypothesis logic, no legal domain structure
Reor adds legal reasoning architecture, not just retrieval
Reor
Forensic reasoning engine
Hypothesis testing, evidence chains, timelines, citations, complex matter intelligence
—
The missing layer: forensic reasoning for complex legal work
Harvey and Robin validate the category. Reor occupies a distinct and defensible position within it.
BUSINESS MODEL
Revenue from day one. Three clear monetisation paths.
Matter-Based Fees
Per engagement
£5,000 – £25,000
Charged per data room or matter engagement. Sized by document volume and complexity. Applicable to litigation, insolvency, M&A diligence and investigations.
Immediate ROI versus associate cost
High urgency means low price sensitivity
Natural entry point for design partners
Platform Subscription
Monthly firm or team licence
£2,000 – £10,000/mo
For law firms, litigation boutiques, insolvency practices and corporate legal teams with recurring complex matter volume. Includes matter workspace, collaboration tools and priority processing.
Predictable recurring revenue
Grows with matter volume
Pathway to enterprise accounts
Enterprise and Private Deployment
Bespoke and secure
Custom / £100k+ pa
For large law firms, banks, litigation funders and corporate legal departments requiring on-premise or private cloud deployment. Includes custom workflows, audit trails and privilege-aware architecture.
Highest contract value
Competitive moat through deep integration
Priority for year 2 and beyond
CURRENT PROOF
£8,000 in April 2026 from a single matter. £2,000/month expected recurring. Early validation that the matter-based model works.
PATHWAY
5 design partner matters at £10k average = £50k. Convert to subscriptions at £3k/month each = £180k ARR. Add enterprise — path to £1m ARR within 18 months.
GO-TO-MARKET
Network-led. Hypothesis-proven. Scaling through credibility.
Legal market entry requires trust and domain credibility. Our go-to-market mirrors how serious legal work is won — through relationships, results and reputation.
01
0-6 MONTHS
Design Partners and Legal Network
Founder-led sales into known legal network. Target: 3-5 design partners across litigation boutiques, insolvency practices and restructuring advisers. Focus on high-value, urgent matters where ROI is immediate. Convert current matter into reference case.
Litigation firms · Insolvency practitioners · Restructuring advisers · Corporate counsel
02
6-12 MONTHS
Practice Group Expansion
Expand via warm referrals into M&A teams, compliance functions and corporate legal departments. Build thought leadership around forensic reasoning, AI evidence chains and data room intelligence. Establish advisory panel of senior legal names.
M&A practices · General counsel offices · Litigation funders · Private equity legal teams
03
12-18 MONTHS
Enterprise and Platform
Move upstream into large law firm practice groups and corporate legal departments. Enterprise deployment with security, audit and privilege architecture. Partner integrations with eDiscovery and legal workflow platforms.
Magic Circle and Silver Circle firms · Big Four forensic teams · US law firm UK offices · Litigation funders
THOUGHT LEADERSHIP
Position Reor as the authority on forensic reasoning for legal teams. Publish on AI evidence chains, data room intelligence and complex matter AI.
US NETWORK
Senior legal contact in New York with proximity to the forensic work. Potential to open US legal and funding conversations.
ROADMAP
From live traction to repeatable legal AI platform.
0–3 Months
Harden and Validate
Productise current forensic workflow
Complete current live matter
Build repeatable OCR/extraction pipeline
Document and systemise hypothesis testing
Lock in first design partner
3–6 Months
Build and Deepen
Launch design partner programme (3-5 firms)
Build evidence graph and entity mapping v2
Improve citation UI and findings export
Secure workspace and access controls
Build litigation and insolvency matter templates
6–12 Months
Scale and Secure
Enterprise security and audit trail
Collaboration features for legal teams
Exportable findings packs and court-ready output
Matter template library — 3 priority use cases
Reach £250k ARR or equivalent run-rate
Form legal advisory panel
12–18 Months
Platform and Expand
Multi-jurisdiction legal corpora
Advanced reasoning and workflow automation
Enterprise partner integrations
20-30 paying firms or legal teams
£1m+ ARR or revenue run-rate
Prepare Series A narrative
Every milestone is anchored to a paying use case, not a feature roadmap.
USE OF FUNDS
£1.5m to convert live traction into a repeatable legal AI business.
18-month runway. Five focused workstreams. Every pound tied to a commercial outcome.
40%
Product and Engineering
Robust ingestion pipeline, OCR, evidence graph, citation engine, secure workspace and collaboration features
15%
Legal Domain Expertise
Legal advisors, matter workflow design, domain validation and QA processes
15%
Security and Compliance
Data protection, audit trails, privilege-aware architecture and private/secure deployment options
20%
Go-to-Market
Founder-led sales, legal network development, design partner programme, thought leadership and events
10%
Operations and Delivery
Customer onboarding, data processing workflows, matter delivery support and team operations
£1.5m
Seed raise target
18-month runway
Founder equity
Richard Heyns 60% / Stephen McGhie 40% pre-investment
Standalone entity
Spin-out from GreenDoorAI Ltd — legal/forensic AI to operate as standalone entity
The largest allocation is product and engineering. We are building a serious technical product, not a reskinned wrapper. The second priority is go-to-market — we have the network and the early proof. Now we need to execute at scale.
TEAM
Two founders. Complementary expertise. Built the first version already.
RH
Richard Heyns
Co-Founder and CEO / Technical Lead
Creator of GreenDoorAI and the first forensic AI product
AI engineering, product development and system architecture
Built the OCR, extraction, evidence graph and hypothesis testing engine used on the first live legal matter
Combines technical depth with product judgement
SM
Stephen McGhie
Co-Founder and CRO / Commercial Lead
Enterprise sales, product positioning and go-to-market strategy
Investor narrative, commercial structuring and partnership development
Background in enterprise software and complex B2B sales
Leads commercial relationships, fundraising and strategic conversations
LEGAL ADVISORY BOARD
To be formed with senior legal practitioners in litigation, insolvency, restructuring and M&A. We are actively seeking advisors with legal market access and credibility.
WHAT WE ARE SEEKING
Strategic capital with legal market access. Introductions to design partner law firms. Advisors who can accelerate credibility with senior legal buyers.
THE OPPORTUNITY
Reor is building the forensic reasoning layer for complex legal work.
We have a working product, live revenue and a validated use case on a real complex legal matter. The legal AI category is proven. The forensic reasoning layer is not yet occupied. We are raising £1.5m to convert this traction into a repeatable, scalable legal AI business.
£1.5m seed funding — 18-month runway, product, team and go-to-market
Strategic advisors with legal market access and credibility
Design partner introductions — litigation, insolvency, M&A and investigations
If you understand complex legal work, you know how much time is spent finding answers. Reor finds them faster.
reor.ai
hello@reor.ai
£1.5m
Seed Round
May 2026
Confidential
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