AI-Powered Legal Intelligence

Oberon’s artificial intelligence isn’t a marketing checkbox. It’s a deeply integrated capability that transforms how your firm researches, drafts, analyses, and delivers.

Three Pillars of Legal AI

AI Chat Assistant

A sophisticated conversational AI that can research, analyse, draft, and execute multi-step tasks using your firm’s tools and data.

Private Knowledge Base

Upload your firm’s documents to create a secure, searchable AI knowledge base. Get answers grounded in your own expertise and precedents.

Integrated AI Tools

AI capabilities woven into every workflow — from one-click document summaries to intelligent text polishing and automated note creation.

Your AI Legal Research Assistant

Oberon’s AI Chat is built on a tool-agnostic architecture using the Model Context Protocol (MCP). This means the AI dynamically discovers and uses any available tool — searching cases, reading documents, creating notes — without rigid pre-programming.

  • Dual model support — use advanced reasoning models for complex analysis, fast models for routine queries
  • Multi-turn tool orchestration — the AI plans and executes complex multi-step research tasks
  • Permission-based tool access — you control what the AI can and cannot do
  • Persistent conversation history with intelligent context compression
  • Departmental prompt library for standardised queries
Oberon AI
Review the Harrison v. Dublin City Council precedent and summarise the key findings relevant to our negligence case.
You
I’ll search for that precedent and analyse it against your case details.
Searching case database…
Oberon AI
Based on Harrison v. Dublin City Council [2023] IEHC 412, the key findings relevant to your negligence matter are:
  1. The court established a duty of care threshold that closely mirrors your client’s situation…
  2. The damages assessment methodology used a comparative framework…
  3. The limitation period considerations align with your filing timeline…
Oberon AI
Draft a preliminary opinion letter based on this analysis.
You
I’ll draft that using your firm’s letter template and the analysis above…
Creating document…
Oberon AI

Your Firm’s Private AI Knowledge Base

Retrieval-Augmented Generation (RAG) gives your AI access to your firm’s collective knowledge — securely and privately.

1

Upload

Add your firm’s documents, memos, precedents, and templates to the secure knowledge base.

2

Index

Documents are intelligently chunked, indexed, and made searchable using semantic understanding.

3

Query

Ask questions in natural language. The AI retrieves relevant context and generates grounded, accurate answers.

Supports PDF, Word, text, and more
Metadata tagging for precise retrieval
Full management interface for uploads and organisation
Answers cite source documents
Multi-matter and firm-wide knowledge bases
Complete data isolation — your documents never leave your environment

AI Where You Need It

Document Analysis

Attach any document to an AI prompt for instant summarisation, clause extraction, or risk analysis.

Text Polish

One-click AI refinement of case notes, correspondence, and memos for clarity, grammar, and professional tone.

Prompt Library

Save and categorise frequently used prompts by department. Standardise AI usage across your firm.

Add to WIP

Convert any AI response directly into a WIP note, memo, or document within the relevant matter.

Deep Reasoning

Engage the advanced reasoning engine for complex multi-step legal analysis with transparent chain-of-thought.

Smart Drafting

Generate first drafts of letters, opinions, and memos using your firm’s style and templates.

AI You Can Trust With Client Data

Client confidentiality isn’t negotiable. Oberon’s AI is designed from the ground up with legal ethics and data protection at its core — not bolted on as an afterthought.

Every AI interaction operates within strict permission boundaries. Your firm’s data is processed exclusively on EU infrastructure, never used for model training, and subject to the same rigorous security standards that govern every other part of the Oberon platform.

Whether you’re a sole practitioner handling sensitive family law matters or a multi-office firm managing commercial litigation, Oberon’s AI meets the highest standards of professional responsibility and regulatory compliance.

  • All AI processing within EU data centres
  • No training on your firm’s data — ever
  • Permission-based tool execution
  • Full audit trail of all AI interactions
  • Client-matter data isolation
  • GDPR and Law Society compliant

How Firms Use Oberon AI

Litigation

Research precedents, analyse opposing arguments, draft submissions, and prepare for hearings with AI-assisted analysis.

Conveyancing

Review property documents, extract key terms, generate requisitions, and manage completion checklists automatically.

Corporate

Analyse contracts, summarise due diligence materials, draft board minutes, and track compliance obligations.

Personal Injury

Assess medical reports, calculate quantum, draft instructions to counsel, and manage settlement negotiations.

New

Deep AI: Expert-Grade Reasoning Engine

Go beyond chat. Oberon’s Deep AI performs multi-iteration, branching analysis with built-in self-critique to produce formal expert opinions and assessments comparable to those of leading professionals.

Not a Chatbot. A Reasoning Engine.

Where the AI Chat answers questions conversationally, Deep AI runs a structured multi-pass reasoning pipeline in the background. It frames the problem, generates investigative branches, explores each in depth, critiques its own reasoning through a built-in Devil’s Advocate module, and synthesises everything into a formal written assessment.

The system automatically detects when its reasoning has converged — requiring at least 90% confidence across multiple iterations before producing its final output. The result is a structured expert report, not a chat response.

The Pipeline

1Context Framing — domain-specific problem analysis
2Devil’s Advocate — immediate critique for gaps and weaknesses
3Branching Analysis — up to 20 investigative threads per iteration
4Cross-Branch Synthesis — connecting insights across all threads
5Convergence Detection — automatic quality threshold (90%+)
6Final Insight — formal expert opinion or assessment
Deep AI — Knowledge Graph
Context
Q1
Q2
Q3
A1
A2
A3
Synth
Critic
Final Insight
Iteration 3 of 5 • 9 branches explored • Convergence: 87% Processing

18 Expert Personas

Choose the expert perspective that fits your matter. Each persona reconfigures the entire reasoning pipeline — from how questions are framed to how the final assessment is structured.

Senior Barrister

Formal opinions, case law analysis

Medical Doctor

Clinical assessments, medical evidence

Consultant Engineer

Technical assessments, building defects

Computer Scientist

Technical analysis, system architecture

Accountant

Financial assessments, tax analysis

Forensic Accountant

Fraud analysis, asset tracing

Strategist

Power dynamics, competitive strategy

Negotiator

Deal strategy, dispute resolution

Behavioural Scientist

Persuasion, consumer behaviour

Politician

Political strategy, stakeholder mgmt

OSINT Investigator

Due diligence, intelligence gathering

Compliance Expert

Regulatory, data protection

Crisis Comms Advisor

Reputation, media strategy

Economist

Damages quantification, valuation

Digital Forensics

E-discovery, cybersecurity

Psychologist

Behavioural analysis, mental health

Criminal Analyst

Criminal schemes, modus operandi

Philosopher

Ethical analysis, argumentation

Professional-Grade Output

Deep AI doesn’t produce chat responses. It generates formal, structured expert reports that follow the conventions of each profession. A Senior Barrister opinion follows the structure of a real counsel’s opinion. A medical assessment follows clinical reporting standards. An engineering report follows professional engineering conventions.

  • Anti-hallucination safeguards — citations flagged if suspicious or unverifiable
  • Upload supporting documents — PDF, Word, CSV, and more (up to 20MB)
  • Optional web research via Google Search for real-time grounding
  • Follow-up sessions that build on previous analysis
  • Download complete session as structured Markdown
  • Interactive knowledge graph visualises the entire reasoning tree
Final Insight — Senior Barrister

RE: Murphy v. Dublin City Council — Public Liability Claim

Formal Opinion of Senior Counsel

QUESTIONS PRESENTED

Whether the Council owed a duty of care to the Plaintiff in respect of the footpath defect at Grafton Street, and whether contributory negligence may reduce any award of damages.

SHORT ANSWER

In my opinion, the Council did owe a duty of care. The defect was known and unremedied for a period exceeding six weeks. However, contributory negligence of approximately 15–20% is likely given the Plaintiff’s admitted familiarity with the route.

DETAILED LEGAL ANALYSIS

The duty of care analysis proceeds from the principles established in Glencar Exploration v. Mayo County Council [2002] 1 IR 84, as further developed in Breslin v. Corcoran [2003] 2 IR 203...

RISK PROFILE

Primary risk: the Council may argue the defect was “trivial” under the de minimis threshold. Mitigation: photographic evidence and engineer’s report establish a depth of 38mm…

3 iterations • 9 branches explored • Convergence: 94% • 47,000 tokens

Experience Legal AI That Delivers Real Results

Register free to experience Oberon’s AI in action with your own use cases.