“MiAi Law stands out as one of the most advanced legal tech platforms I’ve seen, combining speed and accuracy with traceable, defensible outputs. Its contract review and research features genuinely enhance legal practice while respecting professional responsibilities. What impressed me most is the platform’s commitment to transparency and reliability, the qualities essential to building trust in AI for legal decision-making.”
Dr Brydon Wang
24 September 2025
“My firm has been trialling MiAI Law. The output is more comprehensive and reliable than any other AI product I have seen.”
Steven Lurie, Partner
9 December 2025
“I subscribe to both Lexis + and MiAI Law. MiAI Law provides deep and meaningful results. It also provide you with reasons that a barrister or senior partner would.
It is an extremely helpful legal AI tool to help you formulate your legal advice and in that you can cross-check the quoted relevant sections of the legislation or cases at a much faster speed.
Lexis AI is like a junior paralegal or a recent law graduate who gives you the procedural steps of what is set out in the legislation. If you are expecting reasons, it won’t be the right product for you in my view as there is no synthesis or construction of the relevant sections of the piece of legislation. It simply throw everything that it thinks might be relevant to you.”
Hollia Lam, Corporate Lawyer
“I have always embraced technology that streamlines my practice as a barrister. But if ever there was a “killer app” for lawyers that delivers, MIAI.Law would have to be it. It transcends traditional legal research as it doesn’t just find information; it synthesises it. It has cut my preliminary research time substantially and has uncovered lines of argument I might have otherwise missed. It is, without exaggeration, AI for lawyers on steroids, and will become an essential part of a lawyer’s toolkit.”
Danny Feller SC, Barrister
16 September 2025
“MiAI Law is truly remarkable and provides all the features that every lawyer wants and will need every day! I love using its research and contract review features.
I need to review a large number of contracts each day, and what used to take me hours now takes just minutes. The contract review feature makes the review process much easier, highlighting issues that I might not have spotted as quickly to help me frame my advice more clearly and deliver additional value to my clients.
I also rely heavily on the research features in MiAI Law, which I now use every day. Research that generally required a professional lawyer a day or two to complete can now be also done within minutes, with results that read as if it has come straight from the mind of leading counsel. It has become my first go-to tool whenever I have any uncertain point of law. The citations and legal authorities provided along the research results not only give me clear and reliable answers but also helps to improve both my knowledge and my practice.”
Anderson Wong
12 September 2025
“MiAi is set to revolutionise legal AI research.
The case and legislative research functions make difficult tasks easy. Case summaries can be produced within minutes with a helpful executive summary, followed by a chronology, statement of legal issues, arguments and judgment reasoning including precedent treatment, ratio and obiter.
The contract/agreement review function is groundbreaking. A quick or deep review of the drafting of a contract with an audit function which makes it clear what clauses work or what needs to be addressed.
Submissions can be reviewed for accuracy against principle and authority with prompts for areas that are questionable or could be improved. Legislative research is made easy. MiAI’s legal AI research partner has been designed by a practicing lawyer – for lawyers. This is a product you need to try for yourself to appreciate just how good it is.”
Ian Percy, Barrister
15 September 2025
“What Miai Law has delivered for legal research is monumental.”
Nicholas Zambetti, Senior Claims Executive
19 September 2025
“I have submitted several contracts through the platform with Laina, and have received an amazing and insightful feedback. The AI clearly reflects the deep legal expertise behind it, offering nuanced analysis that goes beyond the norms of automation. I can’t recommend it enough. I loved it!”
Nawras Alamarat, Manager of Contracts
17 September 2025
“MiAI Law is reshaping the paradigm of legal research. The platform demonstrates value and capability by delivering hyper-efficient contextual analysis grounded in first principles. It leaps beyond research acceleration by optimising operational performance and aligning legal logic in a clinical approach. MiAI Law is not simply another LLM, it is a tactical advantage that should be embedded in every legal professional’s armoury.
Going back to legal research after using MiAI is like using a GPS navigator and then going back to the hard copy UBD that we all once had living under the passenger seat.”
Ismaeel Julius, Lawyer
“Based on my personal experience of MiAI Law as one of the beta testers recruited to test the program, from being initially somewhat sceptical of Laina’s claims for it I am now definitely a fan. Having used it only for case analysis (not being ready yet to delegate any of my actual writing to a machine however well trained), I can nevertheless state that it summarised each and every one of the reported judgments I fed into it at least as clearly, accurately and comprehensively as I could have done myself and obviously much more quickly. For a legal author that indeed is gold (or prime cheddar if you prefer).”
Fred Hawke, Author
Real Results from Real Firms
3-5x
more risks, gaps, and arguments identified
100%
audit ready, traceable reasoning
20%
more time spent on strategy
This Isn't a Chatbot. It's a Legal Intelligence System.
The Problem With Every Other Legal AI
Most legal AI wrap chatbots around search engines.
They retrieve and summarise documents using general-purpose reasoning.
There is no legal reasoning grounded in the law.
False confidence in work that has not been properly reasoned.
MiAI Does Something No One Else Has
We embedded first-principles legal reasoning into the architecture itself.
Our system doesn’t just sound like it knows the law—it demonstrates it through verifiable, traceable reasoning you can cite in court.
Every Legal Task. One Intelligent Platform.
One system. Grounded in law. Applied across your entire workflow.
Case Research - Lite and Deep Modes
Grounded answers, not confident guesses
- Lite Mode: applies encoded legal reasoning to deliver concise, authoritative answers for focused legal questions
- Deep Mode: applies encoded legal reasoning to deliver first-principles analysis, tracing doctrine through case law
- Authority Mapping: distinguishes binding precedent from persuasive authority
- Verified, Transparent Reasoning: grounded in primary law, with reasoning fully visible and supported by pinpoint references and direct links to source material
Legislation Research
Grounded in statutory construction and first principles
- Legislative Construction: applies High Court principles to interpret legislation in substantive legal issues
- Procedural Research: civil and criminal pathways across all superior courts and major administrative tribunals
- First Principles Reasoning: resolves novel factual scenarios by applying the structure of the law, not templates
- Point-in-Time Analysis: identifies the law as it stood at any relevant date
Case Summarisation
Structured in accordance with judicial reasoning
- Preserves judicial structure and extracts impact on legal doctrine
- Segments majority, concurring, and dissenting judgments
- Distinguishes ratio decidendi from obiter dicta
- Provides precise judicial and paragraph references
Verification and Audit Intelligence
Stress test legal work from first principles, not templates
- Contract Intelligence: identify ambiguity, inconsistency, and legal vulnerability across entire agreements
- LawCheck: audit legal documents for correctness, authority, and reasoning integrity
- AppealCheck: test submissions and judgments for completeness and errors in legal reasoning
- PleadingCheck: assess whether pleadings properly articulate each element of a cause of action
Built Different: Transparent, Secure, and Genuinely Intelligent
This isn’t black-box AI making educated guesses. It’s transparent legal reasoning you can verify, trust, and cite.
See exactly how we think
You can view complete reasoning chains and logic paths, access all extracted source material, and verify every citation with pinpoint references.
Every query becomes part of your complete audit trail, searchable by date, document type, or jurisdiction.
Your data never leaves our shores.
We protect your information with bank-level encryption and guarantee complete Australian data sovereignty. Our comprehensive regulatory compliance framework ensure your research stays confidential, always.
All Australian Jurisdictions
MiAI Law covers Federal, State, and Territory laws, parsing legislation as interconnected systems rather than isolated text. Cross-references and interpretive clauses are understood in context, with regulatory overlays and jurisdictional nuances properly mapped. Simply select your jurisdiction, ask your question, and get answers properly grounded in the right law.
Our Current Global Partners
We are privileged to be collaborating with the world’s best tech brands.
Frequently asked questions
Does MiAi law use your data for training any language models?
We do not train any AI models at MiAi Law. We use Microsoft Azure OpenAI language models (LLMs) in inference-only mode. Your data is not used to train those models, and we also do not use your data for any training purposes.
What is generative AI?
Generative AI or GenAI are both short for generative artificial intelligence. These are software systems that create content as text, images, music, audio and videos based on a user’s ‘prompts’.
What is an expert system?
An expert system is an AI system that encapsulates knowledge provided by a human expert in a specific domain to infer solutions to problems.
An expert system consists of a knowledge base, an inference engine and a user interface. the knowledge base stores declarative knowledge of a specific domain, which encompasses both factual and heuristic information. the inference engine holds procedural knowledge: the set of rules and the methodology for reasoning. It combines facts provided by the user with information from the knowledge base.
Inference is done using predefined rules according to the expert and with logical statement evaluations. Classes of problems that can be solved using expert systems include classification, diagnosis, monitoring and prediction.
What is trustworthiness?
- AI systems have been properly designed and validated in conformance with state-of-the art rules and standards. This implies quality and robustness assurance;
- AI systems are built for the benefits of the users who have aligned objectives. This implies awareness of the workings of AI algorithms and an understanding of the overall functioning by users. It also implies qualification or certification assurance of AI development and operation in conformance with legal requirements and sectorial standards when available;
- AI systems are provided with proper identification with responsible and accountable parties;
- AI systems are developed and operated with consideration for appropriate regional concerns.
What is hallucination?
Hallucination refers to AI models making up facts to fit a prompt’s intent. When a large language model processes a prompt, it searches for statistically appropriate words, not necessarily the most accurate answer.
What is AI transparency?
Transparency of AI systems supports human centred objectives for the system and is a topic of ongoing research and discussion. Providing tranparency about an AI system can involve communicating appropriate information about the system to stakeholders (eg goals, known limitations, definitions, design choices, asumptions, features, models, algorithms, training methods and quality assurance processes). Additionaly, transparency of an AI system can involve informing stakeholders about the details of data used (eg what, where, when, why data is collected and how it is used) to produce the system and the protection of personal data along with the purpose of the system and how it was built and deployed. Transparency can also include informing users about the processing and level of automation used to make related decisions.
What is an agentic AI researcher?
An agentic AI agent is an advanced artificial intelligence system engineered to function with significant autonomy, meaning it can make decisions and perform actions independently without continuous human oversight. These systems are designed to be self-directed, allowing them to navigate and respond to their environment based on pre-defined goals and objectives. A key characteristic of agentic AI agents is their goal-oriented nature. They are programmed to achieve specific outcomes, which can range from routine tasks like managing schedules and sending reminders to more intricate and dynamic problem-solving scenarios. For example, in customer service, an agentic AI might autonomously handle inquiries and resolve issues, while in more sophisticated applications, such as autonomous vehicles, the AI would make real-time decisions to navigate safely and efficiently.By combining autonomy and goal-orientation, agentic AI agents are capable of performing complex tasks with minimal human intervention, adapting to new information and changing circumstances to fulfill their objectives effectively.
What is reinforcement learning?
Reinforcement learning is the process of training an agent(s) interacting with its environment to achieve a predefined goal. In reinforcement learning, a machine learning agent(s) learns through an interactive process of trial and error. The goal of agent(s) is to find the strategy (ie build a model) for obtaining the best rewards from the environment. For each trial (successful or not), an indirect feedback is provided by the environment. The agent(s) then adjusts its behaviour (ie its model) based on this feedback.
What is episodic memory?
Episodic memory is a type of long-term memory that involves the ability to recall specific events or experiences from the past. Episodic memory allows individuals to mentally travel back in time to relive past experiences. It is distinct from semantic memory, which involves general knowledge and facts not tied to personal experiences
If I upload my briefs or other documents into MiAi Law then will my data be used to train the AI?
No, your data will not be used to train the AI. MiAi Law understands the importance of client privilege and your data will remain personal to you. It will be segregated from the data of other subscribers in your personal server.
Why does MiAI Law cost more than other legacy AI research tools?
- retrieves relevant cases and legislation from our legal database
- extracts the ratio and legally operative propositions from cases
- extracts relevant provisions from legislation
- provides pinpoint references and hyperlinks back to the original sources
- applies a proprietary reranking system to identify the most legally relevant authorities
- generates answers using embedded legal reasoning
- reveals the stepwise queries, retrieved sources, and reasoning path used to reach the answer
How does MiAi Law provide verifiable answers?
Every concept in our answers is footnoted and hyperlinked to the pinpoint reference of each source document.
How have possible responsible AI risks been addressed for MiAi Law?
MiAI Law has developed its AI tool using best practices to address and mitigate several responsible AI risks. These risks include the potential for bias and discrimination, where AI could inadvertently perpetuate existing prejudices in critical areas such as hiring and law enforcement. To counter this, MiAI Law employs rigorous bias detection and mitigation strategies.
Privacy violations are another concern, as AI systems often require large amounts of sensitive data. MiAI Law ensures robust data protection measures, including but not limited to encryption both at rest and in transit, to safeguard against misuse and unauthorized access.
The lack of transparency, often referred to as the “black box” problem, is addressed through detailed footnoting of our answers and hyperlinks to the source materials to make our answers more understandable and trustworthy.
Security threats, including hacking and adversarial attacks, are mitigated through advanced cybersecurity protocols. Ethical considerations are also paramount. MiAI Law has adopted ethical guidelines that balance innovation with moral responsibility. For example, in building our database, we have not only used open source data from government and court websites but also paid license fees to publishers where appropriate.
To ensure accountability, clear governance frameworks are in place. Environmental impacts are minimized through sustainable AI practices that reduce energy consumption.
Lastly, MiAI Law is committed to equitable AI practices that prevent the exacerbation of global inequalities, ensuring the benefits of AI are inclusively distributed. For example, we have created affordable consumer guides to educate the consumer and small businesses of their rights and obligations.
Does MiAi Law offer internship programmes, graduate schemes or work experience
placements?
placements?
Yes we do. At the moment, opportunities are available at our Sydney office.
Does MiAi Law allow hybrid working?
We believe that collaboration and continuous interaction between colleagues leads to innovation. However, we are open to consider hybrid working on a case by case basis
Still have questions?
Can’t find the answer you’re looking for? Please chat to our friendly team.