MAIA AI Lawyer

The only AI built specifically for law. Not document readers. Not generic chatbots. Legal intelligence that understands obligations, dependencies, and consequences at institutional scale.

Legal work is drowning. Not in complexity—complexity has always been there. In operational noise. Every contract review generates dozens of emails. Every compliance check demands status updates. Every due diligence project spawns another folder of half-remembered decisions.

Context disappears between Monday and Thursday. A partner remembers a clause from three years ago but can't find it. An associate redrafts language that already exists somewhere in the system. Risk lives in the gaps between documents, between departments, between the lines no one has time to read carefully.

By the time you find the risk, it's too late. The contract is signed. The deal is done. The precedent is set. What if legal intelligence worked differently? What if it saw the system, not just the files?

Why No Other AI Can Do This for Law

Most legal AI tools are document processors dressed up with conversational interfaces. They read PDFs, extract clauses, summarize text. Some are generalists trained on everything from personal injury to real estate. Others hallucinate case citations or generate plausible-sounding legal advice with no grounding in your specific institutional reality.

MAIA AI Lawyer is fundamentally different. Built exclusively for legal operations, MAIA AI Lawyer understands the unique complexity of law: multi-party obligations that cascade through organizational structures, jurisdiction conflicts across international operations, regulatory requirements that interact with contractual terms, and institutional precedents that define your risk tolerance.

Other AI legal tools cannot:

  • Map how obligations in one subsidiary's contract create exposure for your parent company
  • Reason through how a change-of-control clause interacts with your existing debt covenants and shareholder agreements
  • Understand that your company's historical risk appetite in EMEA differs from your approach in North America and adjust recommendations accordingly
  • Build a living knowledge graph of your organizational structure, governance policies, and legal precedents that compounds over time
  • Provide neurosymbolic reasoning that prevents hallucinations while maintaining the flexibility to handle ambiguous scenarios
  • Integrate actual lawyer oversight into every workflow, ensuring AI assists but humans decide

Law demands systems thinking. MAIA AI Lawyer is the only AI built specifically for this. Not adapted from consumer tools. Not a general-purpose LLM with a legal prompt. Purpose-built legal intelligence.

Advantages of the MAIA AI Lawyer

Minimal training, fast deployment

MAIA does not need months of fine-tuning. It adapts to your legal environment quickly and can be operational in as little as 14 days.

GDPR and EU AI Act compliant by design

MAIA is built for regulated environments. Governance, auditability, explainability, and human oversight are embedded, not added later.

Your data never leaves your servers

All legal data remains fully under your control. No external training. No data leakage. No shared models learning from your matters.

End-to-end legal intelligence, not point solutions

MAIA is the only legal AI designed to handle the full legal flow. It understands requirements, conducts research, drafts documents, assesses risk, and supports legal advice within one continuous system.

Understands instructions, not just prompts

MAIA interprets legal requirements and objectives the way a junior lawyer would, not as isolated questions to be answered.

No fragmentation across tools

Research, drafting, review, reasoning, and memory exist in one system. No switching platforms. No loss of context.

Built for real legal accountability

Every output is traceable, explainable, and reviewable. MAIA supports lawyers. It does not obscure responsibility.

"Fast to deploy. Safe to trust. Built to practice law end to end."

What the Perfect AI Lawyer Would Do

Remember How You Draft, Not Just What You Draft

MAIA AI Lawyer learns your personal drafting style. Your date formats. Your defined terms conventions. Your clause numbering habits. Your punctuation preferences. Not generic templates—your style. When you consistently format dates as "1 January 2025" instead of "January 1, 2025", MAIA AI Lawyer remembers. When you always capitalize "Agreement" when referencing the main document but not "agreement" in general, it learns.

This is institutional memory at the individual lawyer level. Every stylistic choice becomes part of your profile, ensuring consistency across every document you produce without forcing you to explain the same preferences repeatedly.

What this looks like: You start drafting a new licensing agreement. MAIA AI Lawyer automatically formats all dates in your preferred style, numbers clauses exactly how you always do it (1.1, 1.2, not 1(a), 1(b)), uses your specific capitalization patterns for defined terms, and matches your punctuation habits in lists and termination clauses. Your style, consistently applied.

Know Which Clauses You Personally Trust

MAIA AI Lawyer doesn't pull from "industry standard" clause libraries. It knows your preferred liability clause from that deal three years ago that worked perfectly. Not because it's common, but because you negotiated it, it performed well, and you trust it. Your institutional knowledge becomes accessible intelligence.

It tracks which specific clauses you return to, which language you defend in negotiations, which provisions you've relied on successfully. When you need a limitation of liability clause, MAIA AI Lawyer surfaces the exact one you used in your most successful deals, not generic alternatives.

What this looks like: You're negotiating a services agreement and need an indemnification clause. Instead of suggesting generic templates, MAIA AI Lawyer surfaces the specific indemnification language you used in three previous deals with similar risk profiles—the one you spent four rounds negotiating with careful mutual protection, that held up well when tested, and that you've told associates to use as a model. That one. Not "standard."

Remember Why You Rejected a Clause Last Time

Other AI remembers that a clause was changed. MAIA AI Lawyer remembers why. Risk appetite. Counterparty profile. Regulator sensitivity. When you rejected a force majeure clause six months ago, it wasn't just because the wording was wrong—it was because it created parent company exposure you weren't willing to accept for that type of counterparty, and your insurance wouldn't cover the expanded scope.

Context is everything in law. MAIA AI Lawyer captures the reasoning behind decisions, not just the decisions themselves. This prevents repeating the same negotiation mistakes and ensures institutional learning actually compounds.

What this looks like: A counterparty proposes a data processing clause similar to one you rejected in a previous negotiation. MAIA AI Lawyer flags it immediately and explains: "You rejected similar language in the Q2 services agreement because it created GDPR compliance conflicts for your European subsidiaries and required parent company indemnification that exceeded board-approved thresholds. The counterparty was a startup with unclear data practices, increasing risk. This situation has similar characteristics."

Adapt to Your Tone Automatically

MAIA AI Lawyer recognizes when you're writing for regulators (formal, precise, heavily documented), for commercial counterparties (collaborative, solution-oriented, commercially pragmatic), or for internal memos (direct, concise, action-focused). No prompting required. It reads context from recipients, subject matter, and historical patterns, then matches the appropriate tone.

Different audiences demand different communication styles. A regulatory filing requires meticulous formality. A contract negotiation email needs commercial reasonableness. An internal risk assessment demands directness without diplomatic padding. MAIA AI Lawyer adapts automatically.

What this looks like: You're drafting three communications on the same compliance issue. For the regulator, MAIA AI Lawyer suggests formal, detailed language with extensive citations: "Pursuant to Regulation 2(3)(a)..." For the business counterparty, it shifts to commercial tone: "To address your concerns about timeline..." For the internal memo to your team, it's direct: "Timeline requires board approval. Draft ready Friday. Issues to escalate: jurisdiction clause, indemnification cap."

Understand Your Fallback Positions

MAIA AI Lawyer learns your negotiation patterns. What you concede first (usually timelines and notice periods). What you never concede (parent company guarantees above certain thresholds). What only moves with board approval (material indemnification obligations, cross-default triggers). This isn't written down anywhere—it's learned from watching your decisions across dozens of deals.

Every negotiation reveals your priorities. MAIA AI Lawyer tracks what you fight for, what you trade away, and under what circumstances. This becomes negotiation intelligence you can deploy instantly, rather than something that exists only in senior lawyers' heads.

What this looks like: You're negotiating a supplier contract. The counterparty requests extended payment terms, lower liability caps, and parent company guarantees. MAIA AI Lawyer advises: "Based on your previous 47 supplier negotiations: You typically accept extended payment terms up to Net 60. You never accept liability caps below £500k for this contract size. Parent company guarantees above £1M require board approval—recommend declining or escalating. Historical success rate when holding this position: 83%."

Remember Jurisdictional Nuance the Way Lawyers Do

MAIA AI Lawyer doesn't think in generic terms like "UK vs EU." It remembers that this specific regulator tolerated this specific wording once, but not twice. That this jurisdiction's courts interpret force majeure clauses narrowly but confidentiality clauses broadly. That your German subsidiary can use language your French subsidiary cannot, even though both are EU entities.

Jurisdictional knowledge isn't about memorizing statutes—it's about understanding how regulators, courts, and counterparties in specific places actually behave. MAIA AI Lawyer builds this through your experience, not generic legal databases.

What this looks like: You're drafting a data processing addendum for your Singapore entity. MAIA AI Lawyer notes: "This data retention language worked for your Hong Kong entity last year, but Singapore's PDPA interpretation is stricter on 'business purposes'—your previous attempt with similar language was challenged by the regulator. Your Singapore counsel successfully defended slightly different wording in Q3. Use that version. Your Malaysia entity can use either version—regulator has accepted both in your filings."

Recognize When a Clause Is Technically Correct But Strategically Dangerous

MAIA AI Lawyer understands downstream obligations, not just syntax. A clause can be legally sound but create strategic problems. An evergreen renewal term is fine in isolation, but dangerous when stacked with your existing long-term commitments. An arbitration clause is standard, but problematic when you have parallel litigation in progress that could create conflicting rulings.

Legal risk isn't just about what words say—it's about what they trigger downstream. MAIA AI Lawyer reasons through second- and third-order consequences that don't appear in the four corners of the document in front of you.

What this looks like: A partnership agreement includes standard mutual non-solicitation language. Technically fine. But MAIA AI Lawyer flags it: "This non-solicitation clause appears standard, but you're currently negotiating the acquisition of a competitor that employs 40 people this partner has worked with. If that deal closes, this clause creates strategic exposure—you'd be unable to integrate key talent without breaching this provision. Recommend narrowing non-solicitation scope or adding carve-out for M&A integration."

Track Clause Evolution Over Time

MAIA AI Lawyer doesn't just see the final contract. It tracks how clauses evolved across negotiation rounds. What triggered each change—was it counterparty pushback, internal risk assessment, regulatory feedback, or insurance requirements? Understanding evolution reveals negotiation dynamics and successful strategies.

Clause history is strategy history. When you see that a liability cap moved from £100k to £500k to £250k over three rounds, and the final compromise was tied to adding insurance requirements, you understand what actually worked. MAIA AI Lawyer captures and surfaces these patterns.

What this looks like: You're reviewing a termination for convenience clause. MAIA AI Lawyer shows: "This clause evolved across 4 rounds in your last negotiation with similar counterparty: Round 1—You proposed 90 days. Round 2—They countered with 30 days. Round 3—You held at 90 but added mutual right. Round 4—Compromised at 60 days with payment protection for work-in-progress. Successful strategy: Don't move on notice period, but offer reciprocal rights."

Flag When Today's Drafting Contradicts Yesterday's Advice

MAIA AI Lawyer remembers what you told the business last month. When today's contract draft contradicts yesterday's risk memo, it flags the inconsistency. Even if it's hidden across emails, attachments, and versions. Consistency matters in law—contradictory positions create liability.

Your legal advice exists across dozens of formats: emails, memos, contract comments, meeting notes, opinion letters. MAIA AI Lawyer treats all of it as a unified knowledge base and detects contradictions before they become problems.

What this looks like: You're drafting a licensing agreement with broad IP warranties. MAIA AI Lawyer flags: "Your risk memo to the business dated 12 Nov advised avoiding IP ownership warranties broader than 'to our knowledge' for this product line due to third-party component uncertainty. This draft includes absolute IP warranties. Contradiction detected. Previous advice cited litigation risk from supplier IP chain gaps. Recommendation: Align with previous position or document reason for strategic shift."

Understand Internal Legal Politics

MAIA AI Lawyer learns which partner prefers conservative language, which business unit pushes boundaries, which regulator is unforgiving. Not gossip—operational intelligence. When you're drafting for review by the conservative risk partner, the language needs to be tighter. When the aggressive commercial team is the client, you anticipate pushback on protective clauses.

Every organization has internal dynamics. MAIA AI Lawyer learns these patterns from observing feedback loops, revision patterns, and approval cycles. This helps you draft strategically for internal audiences, not just external ones.

What this looks like: You're drafting a contract for the commercial team's review before finalization. MAIA AI Lawyer notes: "This draft will route to Partner A for approval. Based on 23 previous reviews, Partner A typically requires: explicit notice provisions in every termination clause, defined timelines for all obligations, and board approval disclaimers for any commitment over £250k. Your draft is missing defined timelines in Section 4.2 and board approval language in Section 7.1. Add before submission to avoid revision cycle."

Remember Your Client's Risk Appetite Better Than the Client Does

MAIA AI Lawyer learns from behavior, not stated preferences. The business says they're risk-averse, but their actual decisions show they accept significant commercial risk for speed. Your institutional client claims conservative positions, but historical behavior reveals they concede on liability caps when deals are strategic. Behavior reveals true risk appetite.

What people say they want and what they actually accept are different things. MAIA AI Lawyer tracks actual decisions across dozens of deals, revealing true risk tolerance patterns that even your clients don't consciously recognize.

What this looks like: The business team requests "minimal risk" on a new supplier contract. MAIA AI Lawyer analyzes: "Business states 'minimal risk,' but historical behavior shows they've accepted uncapped liability in 8 of last 12 strategic supplier deals when timeline pressure exists. Current deal has tight timeline, strategic importance rated 8/10. Prediction: They'll accept higher risk for speed. Recommendation: Draft with moderate protections and prepare aggressive fallback position for negotiation rather than starting with maximum protection that will slow process."

Never Re-Suggest a Clause You've Already Rejected

Other AI keeps trying the same suggestions. MAIA AI Lawyer learns. When you reject a clause once with reasoning, it doesn't surface that clause again in similar situations. If you've decided three times that automatic renewal clauses aren't acceptable for service agreements under £50k, MAIA AI Lawyer stops suggesting them. It learns your boundaries.

Institutional learning means never fighting the same battle twice. Your decisions train the system. Over time, MAIA AI Lawyer's suggestions become increasingly aligned with your actual judgment because it's learned from your decisions, not generic legal databases.

What this looks like: Six months ago, you rejected MAIA AI Lawyer's suggestion to include standard confidentiality period of 3 years for vendor contracts, noting your policy requires 5 years for all vendor relationships due to sensitive data exposure. Since then, MAIA AI Lawyer has suggested 5-year confidentiality terms in all vendor contracts, and has never re-suggested 3 years. It learned. Other AI would keep suggesting 3 years because "that's standard."

Draft As If It Has Sat in Your Meetings

MAIA AI Lawyer absorbs outcomes, not just documents. When a negotiation call ends with verbal agreement that "we'll accept net 45 if they provide insurance certificates," MAIA AI Lawyer captures that context. When the business explains "we need flexibility on timeline because Q1 is always uncertain," it understands the reasoning. It drafts like it was in the room because it has access to the full context.

Documents are artifacts of decisions, not the decisions themselves. MAIA AI Lawyer learns from meeting notes, email threads, verbal guidance, and negotiation history—the full context that produced the final contract, not just the final words on paper.

What this looks like: After a negotiation call where you verbally agreed to extend payment terms to Net 60 in exchange for the counterparty accepting your liability cap, MAIA AI Lawyer automatically updates the draft to reflect both changes with consistent language. It adds a note: "Payment terms extended per call discussion 2025-01-15. Counterparty agreed to liability cap in exchange. Both reflected in revised Section 4 and Section 9. Confirm verbal agreement in next correspondence."

Know When Silence Is Risk and When Silence Is Intentional

MAIA AI Lawyer understands the difference between dangerous omission and strategic silence. When a contract doesn't mention intellectual property ownership, is that a gap or a deliberate choice because you're still negotiating? When there's no dispute resolution clause, is that oversight or intentional flexibility? Context determines which silences matter.

In law, what's left unsaid is often as important as what's written. But not all silence is equal. MAIA AI Lawyer learns which omissions in your practice are strategic and which are dangerous, based on observing what you catch and what you intentionally leave open.

What this looks like: You're reviewing a draft distribution agreement. It contains no exclusivity clause. MAIA AI Lawyer analyzes context: "No exclusivity clause detected. Analysis: For this partner type and deal size, you've historically included exclusivity in 9 of 10 agreements. However, in contracts with strategic optionality (like this one, given ongoing parallel discussions noted in email thread), you've left exclusivity unaddressed in 4 previous deals until later negotiation stage. Classification: Likely intentional. Flag for confirmation."

Explain Its Reasoning Like a Junior Lawyer You Trust

MAIA AI Lawyer provides clear logic, clear sources, and clear uncertainty. It doesn't hide behind complexity or pretend confidence it doesn't have. When it's certain, it says so and shows why. When it's uncertain, it says that too and explains what additional information would resolve the ambiguity. Like a junior lawyer who knows when to research further and when to escalate.

Trust in legal AI requires transparency. MAIA AI Lawyer explains its reasoning step by step, cites specific sources, shows its work, and explicitly identifies when its confidence is low. This allows you to validate its logic, not just accept outputs blindly.

What this looks like: MAIA AI Lawyer recommends a specific indemnification structure: "Recommendation: Mutual indemnification with £500k caps. Reasoning: (1) Your standard policy requires mutual indemnification for commercial contracts above £100k (Internal Policy Doc 2024-03). (2) £500k cap is consistent with your last 6 deals in this value range (Deal references: Alpha, Beta, Gamma agreements). (3) Counterparty's financial profile suggests they can support this cap (Credit analysis attached). Confidence: High. Uncertainty: None identified. Alternative: If counterparty pushes back, historical fallback is asymmetric caps—£500k for them, £250k for you (succeeded in 4/7 cases)."

Never Invent Legal Authority

If MAIA AI Lawyer doesn't know, it says so. Every time. It doesn't generate plausible-sounding case citations, invent statutory references, or confidently state legal principles it hasn't verified. When asked about unfamiliar jurisdictions or novel legal questions, it explicitly states the limits of its knowledge and recommends consulting jurisdiction-specific counsel or conducting research.

Hallucinated legal authority is dangerous. MAIA AI Lawyer is architecturally designed to prevent fabrication. It operates only on validated sources you've provided and explicitly flags gaps in its knowledge base. No invention. No guessing. No false confidence.

What this looks like: You ask MAIA AI Lawyer about enforceability of non-compete clauses in a new jurisdiction where you haven't operated before. Response: "I don't have validated information on non-compete enforceability in this jurisdiction. My knowledge base includes your contracts and legal guidance for: UK, Germany, France, Singapore, and Hong Kong. This jurisdiction (Vietnam) is not covered. Recommendation: Consult local counsel before including non-compete provisions. I can draft alternative protective provisions (confidentiality, non-solicitation, IP assignment) that are more universally enforceable while you obtain jurisdiction-specific guidance."

Build Institutional Legal Memory So Judgment Doesn't Leave with Departing Lawyers

MAIA AI Lawyer captures the accumulated judgment of your legal team. When a senior lawyer leaves, their decision-making patterns, negotiation strategies, risk assessments, and hard-won knowledge stay behind. Not just their documents—their reasoning. Their judgment becomes institutional intelligence that continues to guide decisions after they're gone.

Legal expertise walks out the door when people leave. MAIA AI Lawyer changes this by continuously capturing not just what decisions were made, but why, under what circumstances, with what reasoning, and with what outcomes. Institutional knowledge that compounds rather than evaporates.

What this looks like: Your senior commercial partner who negotiated 200+ licensing deals over 15 years retires. Six months later, you're negotiating a complex multi-territory licensing agreement. MAIA AI Lawyer surfaces: "Based on [Partner Name]'s approach to similar deals: She typically structured multi-territory licenses with master agreement plus country-specific schedules rather than separate contracts (used in 47 of 52 multi-territory deals). She accepted territory-specific pricing but held firm on uniform IP warranties across all territories (negotiation pattern analysis). She escalated to board approval for any territory with revenue potential above £5M annually (governance pattern from 200+ deals). Apply same framework here?"

How MAIA AI Lawyer Actually Works: AI + Lawyer Oversight

MAIA AI Lawyer is not autonomous legal AI. It's a system where AI handles analysis and lawyers make decisions. Every critical output requires human review and approval.

"MAIA AI Lawyer doesn't replace lawyers. It amplifies them. AI handles the analysis. Lawyers make the decisions. Human judgment remains central to every legal outcome."

MAIA AI Lawyer vs Standard Legal AI

Built specifically for law. Not adapted from consumer tools or general-purpose models.

Legal Understanding

  • Standard legal AI tends to treat contracts as isolated text files to search and summarize, extracting clauses but missing how they connect across structures and jurisdictions. Built for general legal work, not complexity.
  • MAIA AI Lawyer is designed exclusively for legal operations, mapping obligations as a system across your structure, understanding dependencies between clauses, contracts, entities, and business operations, reasoning through cascading consequences across organizational hierarchies. No other AI can do this.

Institutional Memory

  • Standard legal AI tends to start fresh with each query, limited to the documents you explicitly feed it, with no memory of previous decisions, precedents, or organizational context.
  • MAIA AI Lawyer is designed to build a living knowledge graph of every legal decision, negotiation, and precedent across your entire organization, compounding institutional intelligence over time with full context that no other system maintains.

Risk Detection

  • Standard legal AI tends to answer the questions you ask, finding risks you specifically look for, reactive by nature with no understanding of your structure or risk profile.
  • MAIA AI Lawyer is designed to proactively identify exposure by understanding your structure, risk profile across entities, business model, and regulatory context across jurisdictions, surfacing problems before you know to search for them. No other AI understands risk systemically.

Output Generation

  • Standard legal AI tends to work from generic templates and examples, filling in blanks or paraphrasing similar documents, often producing language that requires significant human editing and lacks context.
  • MAIA AI Lawyer is designed to draft from intent, reasoning through your specific objectives, entity requirements, jurisdiction constraints, and governance to generate provisions that accomplish exactly what you need with language proven in your previous work.

Explainability & Governance

  • Standard legal AI tends to provide answers with limited or opaque reasoning, often can't explain how it reached a conclusion, cite specific sources, or provide audit trails suitable for board-level governance.
  • MAIA AI Lawyer is designed to show complete audit trails with full context, linking every conclusion to source documents, policies, reasoning steps, and precedents across your organization, fully defensible to boards, regulators, and auditors. Built for governance from the ground up.

Accuracy & Hallucination Prevention

  • Standard legal AI tends to generate plausible-sounding content that may include fabricated citations, invented obligations, or confidently stated errors—dangerous in legal contexts where mistakes have material consequences.
  • MAIA AI Lawyer is designed to prevent hallucinations through neurosymbolic architecture specifically built for legal complexity, constraining neural flexibility with symbolic validation, operating only on your verified sources and validated rules. The only legal AI architecture that makes hallucinations structurally impossible.

Lawyer Oversight Integration

  • Standard legal AI tends to operate as standalone tools that generate outputs without structured lawyer review, offering no systematic integration of human judgment into the workflow, creating governance and liability risks.
  • MAIA AI Lawyer is designed with mandatory lawyer oversight at every critical decision point, requiring human review and approval before any material legal action, maintaining complete audit trails of both AI analysis and lawyer decisions. No other legal AI treats lawyer oversight as a core architectural principle.

Use Cases Across Legal Operations

Contract Review at Scale

Analyze hundreds of agreements across entities simultaneously, identifying risk patterns, inconsistent terms, and obligations that conflict across your portfolio.

Policy Mapping

Map your policies, procedures, and governance rules across all entities into an enforceable knowledge graph that validates every decision against institutional requirements.

Multi-Jurisdictional Compliance

Continuously monitor your operations against regulatory obligations across jurisdictions, automatically flagging when business activities drift toward non-compliance in any entity.

M&A Due Diligence

Accelerate due diligence by systematically analyzing target companies' legal obligations, liabilities, and risk exposure across structures and thousands of documents.

Clause Library

Build and maintain a living library of approved legal language by jurisdiction and entity, ensuring every new contract draws from validated, pre-negotiated provisions aligned with standards.

Litigation Support

Rapidly analyze document collections for litigation across entities, identifying relevant communications, contracts, and obligations, building timelines and fact patterns from vast data sets.

Regulatory Change Impact

Track regulatory developments across all jurisdictions where you operate, automatically assessing how new rules affect your existing obligations and operations by entity.

Cross-Border Structuring

Design legal structures that work across multiple jurisdictions and entities, reasoning through how local requirements interact, where conflicts emerge across your footprint.

Technical Architecture: How MAIA AI Lawyer Works

MAIA AI Lawyer's Neurosymbolic Intelligence Engine
Ingest
Structure
Apply Rules
Detect Conflicts
Generate Actions
Log Audit Trail
1

Ingest Documents and Data

MAIA AI Lawyer consumes contracts, policies, regulations, emails, and any legal materials across your organizational ecosystem. Not just storage, active understanding. It reads like a lawyer reads, extracting meaning, relationships, entity structures, not just keywords.

2

Structure into Facts and Obligations

Text becomes knowledge. Contracts decompose into parties, entities, parent-subsidiary relationships, obligations, rights, conditions, timelines, and dependencies. The knowledge graph grows, mapping how every element relates to everything else across your legal universe.

3

Apply Policies and Legal Rules

Your policies, governance requirements, risk parameters, and institutional standards become executable logic. MAIA AI Lawyer doesn't just know your rules exist. It enforces them, automatically evaluating every situation against your established requirements across entities and jurisdictions.

4

Detect Conflicts and Exposure

Symbolic reasoning identifies contradictions, impossible combinations across entities, and hidden risks. Terms that seem reasonable in isolation but create problems when stacked across your structure. Obligations that will collide with parent company requirements. MAIA AI Lawyer sees it before it becomes a crisis.

5

Generate Recommendations and Actions

Analysis becomes action with context. MAIA AI Lawyer doesn't just report problems, it suggests solutions appropriate to your structure. Draft language that resolves conflicts across entities. Proposed modifications that align with your precedents. Structures that satisfy competing requirements. Lawyers make the call. MAIA AI Lawyer provides the options.

6

Log Complete Audit Trail

Every analysis, recommendation, and decision becomes part of institutional memory. Full traceability across entities. What inputs were considered. What reasoning was applied. What alternatives existed. Your knowledge compounds. Your legal intelligence grows stronger with every case across your entire organization.

Trust, Governance, and Safety

Legal AI demands higher standards. MAIA AI Lawyer is built for environments where mistakes have material consequences, where decisions must be defensible to boards and regulators, where control is not negotiable.

Entity-Level Permissions

Granular role-based access controls by entity and jurisdiction. Not just document-level permissions, but clause-level, obligation-level, entity-level, analysis-level. Your confidential subsidiary negotiations stay confidential. Your sensitive litigation materials stay protected across organizational boundaries.

Complete Audit Trails

Every query, every analysis, every recommendation logged with full context. Who asked what. What entity data was accessed. What reasoning was applied. What outputs were generated. Compliance-ready, litigation-ready, board-ready, audit-ready from day one across your entire organization.

Version Control

Legal documents evolve across entities. MAIA AI Lawyer tracks every version, every redline, every modification across your organization. You can reconstruct the complete history of any agreement by entity, see what changed when, understand why decisions were made at each negotiation stage.

Mandatory Lawyer Approval

MAIA AI Lawyer assists, lawyers decide. You define where approval is required by risk level and entity. High-risk recommendations don't execute automatically. Material changes require human confirmation. The system is powerful, but your lawyers remain in control.

Explainable Reasoning

No black boxes in decisions. Every conclusion includes its reasoning chain with context. Source documents cited. Logic steps shown. Alternative interpretations considered by entity. When you need to defend a position to the board or regulators, you have complete transparency into how MAIA AI Lawyer reached its analysis.

Validated Source Control

MAIA AI Lawyer only operates on sources you validate. It can't pull from random internet content or invent citations. Every piece of knowledge in the system is traceable to materials you've approved. Hallucination-resistant by architectural design for legal use.

"Intelligence you can audit. Power you can control. Legal AI built for organizations where decisions have material consequences and board-level governance is mandatory."

Frequently Asked Questions

How is MAIA AI Lawyer different from document review tools for legal work?
Document review tools search and extract from individual contracts. MAIA AI Lawyer reasons across your entire structure. It doesn't just find clauses, it understands how obligations connect across entities and jurisdictions, how terms in different subsidiary agreements interact, how your legal landscape works as a system. The difference between a search engine and institutional intelligence. No other AI is built specifically for this complexity.
Can MAIA AI Lawyer integrate with our existing legal tech stack?
Yes. MAIA AI Lawyer integrates with most legal tech platforms, document management systems, and contract repositories across entities. It doesn't replace your existing tools, it makes them smarter by adding a reasoning layer on top. Your lawyers continue using familiar workflows, now powered by institutional intelligence that understands your structure.
How long does implementation take for a legal department?
MAIA AI Lawyer grows incrementally with your structure. Start with a single use case, one entity, one jurisdiction, one team. Initial deployment typically takes weeks, not months. Value begins immediately. As the knowledge graph accumulates and the system learns your organizational patterns, capability expands naturally across entities. No massive upfront transformation required.
What happens to our confidential legal information?
Your data stays yours. MAIA AI Lawyer can be deployed on-premises or in your private cloud environment. No information is shared with external parties or used to train public models. Entity-level granular access controls ensure sensitive materials remain protected across your structure. Full audit trails track who accessed what data, when, across all entities.
Does MAIA AI Lawyer replace lawyers?
No. MAIA AI Lawyer eliminates mechanical work so lawyers operate at their highest level. It handles document analysis, precedent research across entities, obligation mapping, and risk detection. Lawyers handle judgment, strategy, negotiation, and advocacy. The goal is not fewer lawyers, but lawyers freed to do what only humans can do: exercise judgment on complex matters.
How does MAIA AI Lawyer prevent hallucinations in legal contexts?
Through neurosymbolic architecture specifically designed for legal work. Neural networks provide flexibility to understand natural language and complexity. Symbolic systems enforce correctness by validating outputs against your validated rules and verified sources. MAIA AI Lawyer can't cite cases that don't exist because it only operates on validated materials you've provided. If it doesn't have data for a specific entity or jurisdiction, it says so explicitly. No other legal AI prevents hallucinations architecturally.
Can MAIA AI Lawyer handle our multi-jurisdictional structure?
Yes. MAIA AI Lawyer is built specifically for this. It reasons across jurisdictions within structures, understanding how local rules interact and where conflicts emerge across your entities. It can analyze how your standard terms perform in different legal systems, identify where local law overrides contractual provisions, understand parent-subsidiary obligations, and suggest structures that work across your global footprint. No other AI understands multi-jurisdictional complexity systemically.
What if MAIA AI Lawyer makes a mistake in its analysis?
Human oversight is architecturally built in. MAIA AI Lawyer assists, lawyers decide. You define approval checkpoints for high-risk recommendations by entity and risk level. Every output includes full reasoning and source citations with context, allowing lawyers to validate conclusions before relying on them. Complete audit trails ensure mistakes can be traced, understood, and corrected across your structure.
How does pricing work for implementations?
MAIA AI Lawyer grows with your needs. Start with a focused deployment in one entity or jurisdiction, prove value, expand when ready across your organization. Pricing reflects the scope of your implementation, the number of entities and users, and the volume of legal materials across your structure. We work on bi-weekly cycles, so you're never locked into a multi-year commitment that doesn't deliver value.
Who is MAIA AI Lawyer designed for?
Legal departments where legal operations are strategic, not just overhead. Multi-entity organizations operating across jurisdictions. Regulated businesses with complex compliance requirements. In-house legal teams drowning in volume across entities. Law firms seeking competitive advantage. Any environment where legal decisions have material consequences and institutional knowledge across organizational structures matters. Built exclusively for law—not adapted from consumer tools.

The Only AI Built for Law

Legal intelligence that compounds over time. MAIA AI Lawyer understands obligations, dependencies, and consequences at institutional scale across your entire organization.

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