MiAI Law

Litigation, Rewired: First-Principles Research for Faster, Verified Strategy

The promise of artificial intelligence in litigation is often framed as speed. But speed without method is a liability. What the profession needs is research that is rapid and reasoned, traceable and court-fit. That is the gap MiAI Law set out to close: moving from keyword hunting to first-principles, audit-ready analysis that helps lawyers set strategy early and defend it later.

1. The problem with “search”

Traditional research starts with keywords and ends with exhaustion. Even the best databases return long lists of authorities; the real work is hidden—extracting the ratio decidendi, distinguishing facts, and reconstructing the governing rules before you can apply them to novel facts. Public chatbots add a fresh risk: fluent answers that lean on secondary commentary and sometimes invent sources. In high-stakes disputes, neither deluge nor guesswork will do.

2. From search to structured reasoning

MiAI Law reverses the sequence. It looks only to primary law (legislation and judgments) and systematises each case up front: issues, parties’ arguments, reasoning, outcome, and the rules for which the case is known. When a question is posed, MiAI runs a stepwise reasoning plan, retrieving at each step from its own structured analyses rather than sweeping the web for prose that “sounds right”.

Outputs are not generic summaries. They are IRAC-structured research reports (Issue, Rule, Application, Conclusion), each proposition footnoted to a pinpoint with a live link to the source. The model is constrained to say “I don’t know” where the base cannot support an answer. It classifies and organises; it does not adjudicate.

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