Legal & AI Definitions (Glossary)

Law

A system of enforceable rules created by recognized authority to regulate behavior, allocate power, and resolve disputes.

Not morality. Not fairness. Enforceability is the key property.

Rule of Law

The principle that decisions are governed by pre-existing rules, not individual discretion.

Without this, law becomes power without predictability.

Source of Law

The recognized origin of legal rules (statutes, regulations, case law, custom).

AI must know which sources count and which don't.

Jurisdiction

The legal authority of a system to govern a situation. Always defined by place + subject matter + time.

Wrong jurisdiction = irrelevant answer.

Hierarchy of Norms

The ranking of legal rules by authority (constitution > statutes > regulations > contracts).

Lower rules cannot override higher ones. Ever.

Procedure

The formal steps required to activate legal rights.

Procedure is not decoration. It is the gatekeeper of substance.

Procedural Nullification

The extinction of a legal claim or right due to failure to follow required procedure, regardless of substantive merit.

Miss a deadline, file wrong venue, use wrong form — your claim dies, not weakens.

Temporal Validity of Law

The principle that a legal rule or interpretation is only correct at a specific point in time.

Legal answers without a date are incomplete by definition.

Liability

Legal responsibility for damage or wrongdoing.

Does not require intent. Only causation and attribution.

Risk

The probability and impact of a legal consequence.

Lawyers don't eliminate risk. They price and position it.

Privilege

A legal protection preventing disclosure of certain communications.

Fragile. Easy to lose. AI misuse can waive it.

Admissibility

The legal criteria determining whether evidence may be considered by an authority.

Truth without admissibility has zero legal value.

Regulatory Discretion

The authority of regulators to decide how, when, and whether to enforce rules.

Explains why identical facts can produce different outcomes.

Artificial Intelligence (AI)

Systems that perform tasks requiring pattern recognition, inference, or decision support using statistical models.

Not intelligence. Not consciousness. Automation of cognition-like tasks.

Large Language Model (LLM)

A probabilistic model trained to predict the next token in a sequence based on massive text data.

Optimized for plausibility, not truth.

Hallucination

A confident but false output produced when a model fills gaps.

In law, hallucinations are not amusing. They are liability events.

Prompt

A structured instruction defining task, context, constraints, and output expectations for an AI system.

Bad prompt = uncontrolled assumptions.

Context Window

The amount of information an AI can consider at once.

If key facts fall outside it, outputs degrade silently.

Fine-tuning

Training a model further on specific data to shape behavior.

Useful, but not a substitute for jurisdiction control or reasoning.

Retrieval-Augmented Generation (RAG)

A method where AI retrieves external sources before generating output.

Critical for law. Without retrieval, AI guesses.

Legal AI

An AI system designed to operate under legal constraints: jurisdiction, sources, hierarchy of norms, and accountability.

If it can't explain why an answer is valid, it's not legal AI.

Legal Reasoning

Applying legal rules to facts under procedural and jurisdictional constraints to reach a defensible conclusion.

Not explanation. Not summary. Application under constraint.

Legal Coherence

The internal consistency of a legal system as it exists, including tolerated contradictions and exceptions.

Not the same as logical or mathematical consistency.

Interpretive Latitude

The bounded freedom authorities have when applying legal rules to facts.

Creates outcome ranges rather than binary answers.

Traceability

The ability to link an AI output to: assumptions, sources, versions, and reasoning steps.

If you can't trace it, you can't defend it.

Auditability

The ability to review how an output was produced after the fact.

Mandatory for regulated environments.

Human-in-the-Loop

A design where a human reviews, validates, or overrides AI output before action.

Not optional in law. Ethically required.

Accountability Chain

The documented path from AI output to human decision-maker.

Courts follow this chain. Break it and responsibility still lands on you.

Scope

The explicit boundaries of what the AI is allowed to consider or produce.

Undefined scope = hallucination invitation.

Assumption

A condition treated as true for the purpose of reasoning.

Good AI systems surface assumptions instead of hiding them.

Iterative Drafting

A multi-pass workflow where outputs are refined through review and correction.

One-shot drafting is amateur behavior.

SLA-Style Prompting

Prompting that specifies limits, structure, and performance expectations.

Reduces verbosity. Increases reliability.

Preventive Law

Legal work done to avoid disputes or sanctions before they occur.

Cheaper. Faster. Smarter.

Reactive Law

Legal work responding to an existing conflict.

Always more expensive.

Litigation Leverage

Using legal process as pressure, not necessarily to reach judgment.

Most cases settle because of leverage, not justice.

Settlement

A negotiated resolution avoiding formal adjudication.

The most common legal outcome.

Professional Responsibility

The non-transferable duty of a legal professional to act competently, confidentially, and ethically.

AI does not dilute this. It intensifies it.

Confidentiality

The obligation to protect client or sensitive information.

AI systems do not create exceptions.

Waiver

The loss of a legal right through action or omission.

Careless AI usage can trigger it instantly.

Liability Concentration

The phenomenon where automation increases speed and scale, making errors more impactful and responsibility more focused on decision-makers.

Legal AI Twin

An AI system designed to think with a specific lawyer or team, reflecting their jurisdiction, style, risk tolerance, and accountability.

Not autonomous. Augmented judgment.

Co-Reasoning

A workflow where human and AI collaboratively structure legal thinking.

The human decides. The AI accelerates.

System of Record

A unified environment where documents, decisions, reasoning, and audit trails live together.

Fragmentation kills accountability.