Industries / Legal
AI for legal work, with every citation traceable.
Research and document review that moves faster without asking anyone to trust an unchecked summary. Every answer links back to its source.
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What we built for legal. An AI legal assistant for case law, filings and regulatory documents.
Citation-grounded research
Answers drawn from case law and filings, each with the source it came from.
Document review
Faster review of long documents, with the relevant passages surfaced for the reviewer.
Regulatory analysis
Search across regulatory documents alongside case law and filings.
What else we can build for legal. Capabilities we offer. We have not delivered these in this industry yet.
Contract review
Clauses extracted and compared against your standard positions, with deviations flagged.
Due diligence support
Large document sets sorted, summarised and searched, with every point linked to its source.
Matter intake
Incoming requests classified and routed, with key details captured.
Knowledge assistant
Answers from your precedents and internal guidance, with links to the source.
E-discovery support
Large collections searched and grouped by issue, with every hit linked to its source.
Litigation chronologies
Timelines built from case documents, for a lawyer to check and correct.
Compliance monitoring
Regulatory changes mapped to your policies and contracts, with gaps flagged.
Drafting from precedents
First drafts from your templates and precedents, always reviewed before use.
Match the autonomy to the task. AI speeds up the reading. Lawyers keep the judgement.
- L1WorkflowA fixed, auditable path.
- L2AssistantAI drafts. A person reviews.
- L3Supervised agentAI acts and flags exceptions.
- L4AutonomousRoutine, low-risk, monitored.
- Human-ledPeople decideAI supports the analysis.
Finding relevant authorities
The assistant searches and cites. A lawyer checks the sources.
L2 AssistantFirst-pass document review
AI surfaces relevant passages and flags what needs attention.
L3 Supervised agentAdvice and legal opinions
Stay with qualified lawyers. AI supports the research.
Human-led
Our legal work, and related systems. Each result comes from a delivered engagement.
Research & review assistant
Citation-grounded answers, each one traced back to its source document.
~50% faster review time AI · Document intelligenceAI document intelligence
Extraction and classification that sends only the exceptions to people.
>80% less manual review AI · Agent platformsAI agent platform
Agents retrieve, reason and act across systems, with human approval before high-stakes actions.
~40% less manual effortIs research or review eating your team's week?
The technology behind our legal research assistant. Chosen for retrieval, citation and confidentiality, with models that can change later.
01 / 05
Models
The language models behind each feature, picked per task on cost, speed and quality.
- OpenAI
- Anthropic Claude
- Google Gemini
- LangChain
- LlamaIndex
02 / 05
Vector search
How answers stay grounded in your content.
- Pinecone
- Weaviate
- Qdrant
03 / 05
Databases
Where product data lives.
- PostgreSQL
- Elasticsearch
04 / 05
Cloud and infrastructure
Where it runs, in your cloud or ours.
- AWS
- Microsoft Azure
- Google Cloud
05 / 05
Evals and operations
Tracing, testing and monitoring once it is live.
- Langfuse
From a research question to a tool lawyers trust. Four stages, with lawyers checking the output at each one.
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Discovery
Map the research process, the systems and data involved, and what good looks like.
Discovery notes
- The sources you rely on
- How review works today
- Confidentiality requirements
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Scope & architecture
Agree how sources are indexed, how citations are shown and who can see which matter.
Solution design
- Architecture and data access
- Citation rules
- Success measures
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Build
Build on real documents, with lawyers checking answers and citations at each milestone.
Working build
- Working assistant on real documents
- Reviewer feedback
- Accuracy tests
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Ship & support
Roll out with access by matter, monitoring of answer quality and a defined support window.
Production rollout
- Production rollout
- Monitoring
- Support window
Why Avinya for legal. We built legal AI where the source matters more than the summary.
Delivered in legal
A citation-grounded assistant in use, with about 50% faster review and about 10 hours saved per week.
A source behind every answer
In our legal engagement, 100% of citations are traceable to the document they came from.
Lawyers keep the judgement
The assistant finds and summarises. Advice and opinions stay with qualified lawyers.
Support after go-live
Accuracy checks and tuning continue after launch, with a defined support window.
Engagement models. Pick the shape that fits where you are.
Dedicated team
A team that extends yours as sources, matters and workflows grow.
Project-based
A defined assistant for one research or review workflow, with milestones and a delivery date.
Consulting & advisory
Advice on sources, citation rules and confidentiality before you commit to a build.
What our clients say.
AI platform for an insurance broker
“Avinya Labs built our full-stack AI solution … Their expertise accelerated our launch and significantly reduced execution risk.”
Guides on this topic. Plain answers to the questions buyers ask first.
AI for Law Firms: What Works and What Does Not (2026)
What an AI legal assistant can and cannot do, and how to start safely.
Read the guide → GuideHow Intelligent Document Processing Works (2026 Guide)
Classify, extract, validate and route exceptions to people, and where it pays off.
Read the guide → GuideHow to Build a RAG System for Your Company Knowledge Base
Architecture, components and stack choices, and when RAG is the wrong tool.
Read the guide →AI for legal FAQs.
Can we check where an answer came from?
Yes. Every answer links to the source document it came from. In our legal engagement, 100% of citations are traceable.
Does the AI give legal advice?
No. It speeds up research and review. Advice and opinions stay with qualified lawyers.
What is an AI legal assistant?
Software that searches and reads legal sources such as case law, filings and regulations, then answers questions or drafts summaries for a lawyer to check. A good one shows the source behind every answer.
How is AI used in law firms and legal teams?
Mostly to speed up reading: legal research, first-pass document review, contract review against standard positions, due diligence on large document sets and routing incoming matters. The judgement stays with lawyers.
How much time does it save?
In our delivered engagement, review time fell by about 50% and the team saved about 10 hours a week.
Where should a legal team start?
With one research or review task where the sources are already digital, such as first-pass review of a document set. We map it, agree what a correct citation looks like, and build a version your lawyers can test before it scales.
How is client confidentiality handled?
Access is scoped to the matter and the user, with role-based permissions and a record of what was searched and opened. Where the data lives and which models can see it are agreed during discovery.
How long does a legal AI project take?
A prototype on your own documents takes about 6 to 9 weeks and a first version your lawyers can use about 8 to 12 weeks. Production, with access by matter and monitoring, usually takes 3 to 5 months. We confirm the plan during discovery.
Can we sign an NDA first?
Confidentiality comes first with legal work. Yes. We can sign an NDA before you share anything, and we agree ownership of the work in the contract before the work starts.
How do lawyers stay in control of an AI legal assistant?
The assistant drafts and finds; a lawyer reviews and decides, and every answer links back to its source. An AI legal assistant and AI for legal work follow the human oversight approach in the NIST AI Risk Management Framework.
Free tool
How ready is your business for AI?
Twenty questions, about four minutes. You get a score across five areas and what to fix first.