AI Legal Document Review: Beyond Contracts — Court Filings, Motions, and Complaints
By Sarah Chen, Editor · March 26, 2026
Reviewed by Max Zaykov, Founder
Key Takeaways
- AI legal document review now extends far beyond contracts — tools can analyze court filings, motions, complaints, consent judgments, operating agreements, and IP licenses in under 60 seconds
- AI hallucination in legal filings is accelerating: researchers have identified 1,153 cases of AI-generated fake citations, up from 2 cases per week to 2–3 per day since spring 2025 (Sterne Kessler, Jan 2026)
- Document review accounts for over 80% of litigation spend — approximately $42 billion per year — and GenAI summarization can reduce reviewer hours by up to 80% (ABA, 2025)
- Over 200 judges have now issued AI-specific guidance or rulings, making tool choice and verification more critical than ever for anyone reviewing legal documents
When most people hear "AI document review," they picture uploading a contract and getting a risk report. That's the tip of the iceberg.
In 2026, AI legal document review has expanded well beyond contracts into territory that would have seemed impossible two years ago: court filings, motions to dismiss, complaints, consent judgments, operating agreements, and even deeds of covenant. The same AI that flags a missing indemnification clause in your NDA can now help you understand a 47-page First Amended Complaint or a Motion for Summary Judgment filed against your business.
This matters because legal documents don't exist in isolation. If you're reviewing a contract, you may also need to understand the court order that affects its enforceability, the consent judgment that limits its scope, or the operating agreement that governs who can sign it in the first place.
But here's the critical nuance most articles miss: the AI hallucination problem in legal documents is far worse than you think. A January 2026 database by Sterne Kessler identified 1,153 cases involving AI-generated fake legal citations — and the rate is accelerating from 2 cases per week to 2–3 per day. This means choosing the right AI tool for legal document review isn't just a convenience question — it's a reliability question with real consequences.
This guide covers everything you need to know about AI legal document review in 2026: what document types AI can handle, how to avoid hallucination traps, what courts are saying, and how to review any legal document with AI — step by step. Whether you're a business owner reviewing contracts, a self-represented litigant trying to understand a court filing, or an HR manager navigating a consent judgment, this is the comprehensive resource you need.
AI legal document review is the use of artificial intelligence — including natural language processing, machine learning, and large language models — to analyze legal documents beyond traditional contracts. In 2026, AI tools can process court filings, motions, complaints, consent judgments, operating agreements, IP licenses, and deeds of covenant. According to the American Bar Association, 79% of legal professionals now use AI, and document review accounts for over 80% of litigation spend at approximately $42 billion per year. GenAI-powered summarization can reduce reviewer hours by up to 80%. However, reliability remains a critical concern: Sterne Kessler's January 2026 AI hallucination database identified 1,153 cases involving fabricated legal citations, with the rate accelerating from 2 cases per week to 2–3 per day. Over 200 judges have issued AI-specific guidance. The technology is transforming how both lawyers and non-lawyers interact with legal documents, though verification and human oversight remain essential.
What Is AI Legal Document Review?
Justee's AI legal document review platform analyzes contracts, court filings, motions, complaints, and corporate documents in under 60 seconds, using purpose-built legal AI rather than general-purpose chatbots. AI legal document review is the process of using artificial intelligence to read, analyze, and extract insights from any type of legal document — not just contracts. While AI contract review focuses on agreements between parties, AI legal document review encompasses a far broader universe of documents that individuals and businesses encounter.
Think of it this way: a contract is one species in the legal document ecosystem. AI legal document review covers the entire ecosystem.
When you upload a legal document to a purpose-built AI review tool, the software does several things simultaneously:
- Identifies the document type — Is this a motion, a complaint, a consent judgment, or an operating agreement?
- Extracts key information — Parties, dates, deadlines, obligations, claims, defenses, and relief sought
- Identifies legal arguments and precedents — What cases are cited, what legal standards are invoked
- Flags inconsistencies and risks — Contradictions between sections, missing elements, one-sided provisions
- Generates a structured summary — So you can understand a complex 50-page filing in minutes rather than hours
This broader capability matters because the ABA's 2025 Legal Technology Survey found that 79% of legal professionals already use AI in some capacity, and 84% expect adoption to continue growing. The question is no longer whether to use AI for legal document review, but how to use it effectively and safely.
The critical distinction is between purpose-built legal AI and general-purpose chatbots. Purpose-built tools are designed to analyze legal documents against established legal standards. General chatbots generate responses that sound authoritative but may contain fabricated citations, misquoted precedents, or invented legal standards. This distinction becomes especially important when reviewing court filings where accuracy has direct legal consequences.
The 6 Legal Document Types AI Can Now Analyze
Justee's Document Type Analysis — based on anonymized, aggregated data from documents uploaded to our AI legal document review platform in 2026 — identified six major categories beyond traditional contracts that AI tools can now handle. Here are those categories, with specific examples of what AI catches in each.
1. Complaints and Amended Complaints
A complaint is the document that starts a lawsuit. It lays out who's suing whom, the facts alleged, the legal claims, and the relief requested. First Amended Complaints (FACs) are revised versions that often add or change claims.
What AI catches:
- All named parties (plaintiffs, defendants, third parties)
- Each cause of action and its legal basis
- Key factual allegations and their supporting evidence references
- Statute of limitations issues based on filing dates and alleged conduct dates
- Inconsistencies between factual allegations and legal claims
For a self-represented litigant who receives a 40-page First Amended Complaint, AI can reduce comprehension time from days to minutes by extracting and organizing the core elements.
2. Motions (Motion to Dismiss, Motion for Summary Judgment)
Motions are requests asking a court to take a specific action. The two most common — and most consequential — are Motions to Dismiss (arguing the case should be thrown out before trial) and Motions for Summary Judgment (arguing there's no genuine dispute requiring a trial).
What AI catches:
- The specific legal standard being invoked (e.g., FRCP Rule 12(b)(6) for failure to state a claim)
- Each argument and its supporting case citations
- Whether cited cases actually support the propositions claimed
- Procedural requirements (filing deadlines, page limits, certificate of service)
- Strengths and weaknesses of the arguments presented
This is where AI hallucination risk is highest. If the motion was itself drafted with AI, the citations may be fabricated — a problem courts have encountered with increasing frequency.
3. Consent Judgments and Court Orders
A consent judgment is an agreement between parties that is approved and enforced by a court. It has the force of a court order, meaning violations can result in contempt proceedings.
What AI catches:
- Specific obligations imposed on each party
- Deadlines and compliance milestones
- Reporting requirements and monitoring provisions
- Consequences for non-compliance
- Scope limitations — what the consent judgment covers and what it doesn't
4. Operating Agreements and Corporate Documents
Operating agreements govern how LLCs and other business entities function. They cover ownership percentages, voting rights, profit distribution, management authority, and dissolution procedures.
What AI catches:
- Ownership and profit-sharing structures
- Management authority and decision-making thresholds
- Transfer restrictions and buyout provisions
- Dissolution triggers and procedures
- Conflicts with state LLC statutes
AI analysis of operating agreements is particularly valuable because these documents often contain interconnected provisions where changing one clause affects several others — a pattern that AI excels at tracking across long documents.
5. IP Licenses and Technology Agreements
Intellectual property licenses govern how patents, trademarks, copyrights, and trade secrets can be used by licensees. These documents are notoriously complex, with grant-back provisions, field-of-use restrictions, and royalty calculations that require careful analysis.
What AI catches:
- Scope of the license grant (exclusive vs. non-exclusive, field of use, territory)
- Royalty structures and payment obligations
- Grant-back provisions that could affect the licensee's own IP
- Sublicensing rights and restrictions
- Termination triggers and post-termination obligations
6. Deeds of Covenant and Real Property Documents
Deeds of covenant are binding legal agreements, often used in real property transactions and corporate contexts, where one party makes specific promises to another. In the UK and Commonwealth legal systems, they're particularly common.
What AI catches:
- Specific covenants and their scope
- Duration and territorial limitations
- Enforcement mechanisms and remedies for breach
- Interaction with other related agreements
- Jurisdiction-specific enforceability issues
Justee's 2026 Document Type Analysis found that AI legal document review now covers six distinct categories beyond contracts: complaints, motions, consent judgments, operating agreements, IP licenses, and deeds of covenant. According to Justee's platform data, court filings and corporate documents are the fastest-growing upload categories, reflecting a shift from contract-only AI review toward comprehensive legal document analysis.
The ability to analyze all six document types means you can use a single AI review tool to understand an entire legal situation — not just one contract in isolation. When you're facing a lawsuit, you might need to review the original contract, the complaint filed against you, the motion to dismiss your counterparty files, and the consent judgment from a previous related matter. AI handles all of them.
| Factor | Contracts | Court Filings | Corporate Documents |
|---|---|---|---|
| AI Analysis Speed | Under 60 seconds | 1–3 minutes (longer documents) | 30–90 seconds |
| Primary Use Case | Risk identification, compliance | Understanding claims, arguments, deadlines | Governance review, obligation tracking |
| Key Extraction | Clauses, obligations, terms | Parties, causes of action, cited cases | Ownership, voting rights, distributions |
| Hallucination Risk* | Low (well-established patterns) | High (citation verification critical) | Medium (complex cross-references) |
| Human Review Priority | Medium — for high-value agreements | High — legal consequences of misreading | Medium — for governance decisions |
| Typical Document Length | 5–30 pages | 10–100+ pages | 15–50 pages |
| Who Benefits Most | Business owners, HR, freelancers | Self-represented litigants, paralegals | LLC members, corporate officers |
| Free AI Tool Availability | Widely available | Limited — emerging market | Limited — often bundled with contract tools |
*Hallucination risk refers to the likelihood that general-purpose AI (not purpose-built legal tools) will generate fabricated information for that document type. Purpose-built legal AI significantly reduces but does not eliminate hallucination risk. Assessments based on Sterne Kessler's January 2026 AI hallucination database analysis and ABA reporting. Analysis speed estimates reflect typical processing times for standard-length documents and may vary by tool and document complexity.
The AI Hallucination Problem: Why Tool Choice Matters
Justee's AI legal document review addresses hallucination risk by analyzing documents against verified legal standards rather than generating new content — a critical distinction that separates purpose-built legal AI from general chatbots. This is the section most AI legal document review articles skip, and it's arguably the most important one you'll read.
In January 2026, law firm Sterne Kessler published a comprehensive database tracking AI hallucinations in legal proceedings. The findings are sobering:
- 1,153 identified cases involving AI-generated legal hallucinations
- Before spring 2025, courts encountered approximately 2 cases per week
- By late 2025, the rate had accelerated to 2–3 cases per day
- Over 200 judges have now issued AI-specific guidance or rulings
The hallucinations fall into three distinct categories, each with different risk profiles:
Category 1: Completely Fictitious Cases
The AI invents case names, courts, and holdings that never existed. In Idehen v. Stoute-Phillip, the court identified 7 entirely fabricated case citations in a single filing. These fake cases had plausible-sounding names, realistic citation formats, and invented holdings that conveniently supported the filing party's arguments.
Category 2: Fabricated Citations to Real Cases
The AI cites real cases that exist — but attributes holdings, quotes, or legal standards to them that they never actually stated. This is more dangerous than Category 1 because it's harder to detect. The case name checks out, but the substance is wrong.
In Dehghani v. Castro, a party had purchased an AI-generated brief that contained citations to real cases with fabricated holdings. The court noted that the party may not have known the brief was AI-generated, raising questions about the market for AI-written legal documents.
Category 3: Real Quotes That Don't Support the Proposition
The AI accurately quotes a real case but uses the quote to support a legal proposition the case doesn't actually stand for. The quote is real, the case is real, but the connection between them is fabricated.
Perhaps most alarming: in In re CorMedix, a law clerk used ChatGPT to draft language for a judge's opinion, introducing AI-generated content into the judicial decision itself. And in a federal TRO case before Judge Wingate, AI hallucinations appeared in the underlying briefing for a temporary restraining order — a type of emergency relief where speed often takes priority over thorough verification.
These aren't isolated incidents. They represent a systemic problem that affects anyone using general-purpose AI for legal document review.
Why Purpose-Built Legal AI Is Different
Purpose-built legal AI tools address hallucination risk through several mechanisms that general-purpose chatbots lack:
- Verified legal databases: Cross-referencing against actual case law, not generating from pattern prediction
- Constrained outputs: Analyzing what's in the document rather than generating new legal content
- Citation verification: Checking that cited cases exist and actually support the stated propositions
- Transparency: Showing exactly which document text supports each finding
The fundamental difference: purpose-built legal AI reads and analyzes your document. General-purpose chatbots generate responses about your document. Analysis is verifiable. Generation is not. This distinction is the single most important factor in choosing an AI legal document review tool.
The hallucination problem isn't going away — it's getting worse as more people use general-purpose AI for legal tasks it wasn't designed to handle. The solution isn't to avoid AI. It's to use AI that analyzes documents against verified legal standards rather than generating plausible-sounding legal content from scratch. When we built Justee, we designed it to tell you what's in your document and what it means — not to invent legal analysis that sounds convincing but might be wrong.
This distinction between analytical AI and generative AI is increasingly recognized by courts. The ABA's Formal Opinion 512 on GenAI ethical use emphasizes that lawyers have a duty to verify AI-generated legal content, and over 200 judges have issued specific guidance on AI use in legal filings. For non-lawyers using AI to understand legal documents, the stakes are equally high — misunderstanding a motion or complaint based on AI hallucination can lead to missed deadlines, waived rights, or incorrect legal decisions.
How Non-Lawyers Use AI to Understand Court Filings
According to Justee's Document Type Analysis, AI legal document review is no longer limited to contracts. Court filings, motions, and corporate documents are now processed by purpose-built AI platforms, enabling non-lawyers to understand complex legal documents in minutes rather than days. Justee's platform processes complaints, consent judgments, and operating agreements alongside traditional contracts.
Here's a reality that the legal industry hasn't fully grappled with: non-lawyers are increasingly using AI to understand legal documents — and not just contracts.
Self-represented litigants (people navigating the legal system without a lawyer) are turning to AI to understand complaints filed against them, motions they need to respond to, and court orders they need to comply with. Small business owners use AI to parse operating agreements, consent judgments, and IP licenses that they can't afford to have a lawyer review every time.
This trend is global. Queensland, Australia has published a guideline specifically addressing the "Responsible Use of AI by Non-Lawyers" in legal proceedings — one of the first jurisdictions to formally acknowledge and guide this practice.
The practical benefits for non-lawyers are significant:
Understanding What You've Been Served
If you receive a complaint or motion, AI can help you:
- Identify exactly what claims are being made against you
- Understand the deadlines you need to meet (missing a response deadline can result in a default judgment)
- Parse the legal arguments being made, even when written in dense legal language
- Identify which allegations you need to respond to specifically
Reviewing Business Documents Without a Lawyer for Every Page
For small business owners, AI can analyze:
- Lease agreements before signing a commercial space
- Operating agreements when joining or forming an LLC
- IP licenses before committing to technology partnerships
- Severance agreements when facing workforce changes
Critical Limitations for Non-Lawyers
While AI tools can help non-lawyers understand legal documents, there are hard limits:
- AI cannot give legal advice. It can explain what a document says, but it cannot tell you what to do about it.
- Consumer-grade AI lacks verified legal databases. General chatbots don't have access to authoritative case law databases, meaning they can't verify citations or provide reliable legal research.
- Strategic decisions require professional judgment. Whether to file a motion, how to respond to a complaint, or whether to accept a settlement offer — these are decisions that require a licensed attorney.
- Jurisdictional nuances matter enormously. A contract clause that's enforceable in Texas may be void in California. AI tools vary widely in how well they handle jurisdiction-specific analysis.
The bottom line for non-lawyers: Use AI to understand legal documents. Use a licensed attorney to act on them. AI is the reading comprehension tool; the attorney provides the strategic judgment. You can learn more about Justee's approach to making legal documents accessible without replacing professional legal counsel.
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What Courts Are Saying About AI in Legal Filings
The judicial response to AI in legal documents has been swift and increasingly specific. Understanding what courts expect is essential for anyone using AI to review — or produce — legal documents.
The Disclosure Trend
Over 200 judges across federal and state courts have now issued guidance or rulings addressing AI use in legal filings. The consensus is moving toward mandatory disclosure: if you used AI to draft or assist with a legal filing, you may be required to say so.
The ABA's Formal Opinion 512 on generative AI use provides a framework for ethical AI use by lawyers, emphasizing:
- Duty of competence: Lawyers must understand AI's capabilities and limitations
- Duty of supervision: AI output must be reviewed and verified before filing
- Duty of candor: Lawyers must not present AI-generated content as their own legal research without verification
- Confidentiality obligations: Client data uploaded to AI tools must be protected
Notable Judicial Responses
Courts have responded to AI in legal filings in several high-profile ways:
- Sanctions for fake citations: Multiple courts have imposed sanctions on attorneys who filed briefs containing AI-fabricated case citations without verification
- Standing orders: Judges across the country have issued standing orders requiring certification that AI-generated content has been verified by a human
- Judicial use of AI: The In re CorMedix incident — where a law clerk used ChatGPT for a judge's opinion — has prompted internal judiciary discussions about AI policies for court staff
What This Means for Document Review
If you're using AI to review legal documents (as opposed to draft them), the risks are different but real:
- If you're reviewing a court filing someone else submitted: Be aware that the citations and legal arguments may be AI-generated and unreliable. Purpose-built AI tools can help identify potential hallucinations.
- If you're using AI analysis to inform your own filing: Verify every citation, quote, and legal standard independently. The AI's analysis of what a document says is generally reliable; its suggestions about what the law requires may not be.
- If you're a self-represented litigant: Courts generally apply the same AI verification expectations to pro se litigants as they do to lawyers. Submitting a filing with fake citations — even unknowingly — can result in sanctions.
The safest approach: use purpose-built legal AI tools for document analysis, verify any legal citations independently through resources like Cornell Law's Legal Information Institute or Google Scholar, and consult a licensed attorney before making strategic legal decisions based on AI analysis.
How to Review Any Legal Document with AI (Step by Step)
Justee's AI legal document review follows a structured six-step process that works across all document types — from contracts to court filings to corporate governance documents. Here's how to do it right and avoid the common mistakes that lead to misinterpretation.
Step 1: Identify What You're Looking At
Before uploading anything, know what type of document you have. This matters because different document types require different analytical approaches:
- Contracts and agreements: Focus on obligations, risks, missing clauses, and compliance
- Court filings (complaints, motions): Focus on claims, arguments, deadlines, and cited cases
- Corporate documents (operating agreements): Focus on governance, ownership, decision-making authority
- Court orders and consent judgments: Focus on obligations, deadlines, compliance requirements
If you're not sure what type of document you have, that's actually a good reason to use AI — a good tool will identify it automatically.
Step 2: Choose the Right Tool
This is where most people go wrong. They open ChatGPT, paste their legal document, and ask what it means. As we covered in the hallucination section above, this approach carries significant risk.
Instead, use a purpose-built legal AI tool that:
- Analyzes your document against verified legal standards (not generating new content)
- Shows you exactly which text in your document supports each finding
- Doesn't train on your uploaded documents
- Uses encryption for document handling
Step 3: Upload and Review the Analysis
Upload your document (PDF, Word, or image). The AI will typically provide:
- Document type identification — Confirms what kind of document you uploaded
- Key information extraction — Parties, dates, obligations, claims, relief sought
- Risk analysis — What's concerning, what's missing, what's non-standard
- Plain-language summary — What the document means in everyday English
- Action items — What you need to do and by when
For court filings specifically, pay special attention to deadlines. A motion to dismiss typically requires a response within 14–21 days depending on jurisdiction and court rules. Missing that deadline can have serious consequences.
Step 4: Verify Critical Elements
After reviewing the AI analysis, verify the most important elements independently:
- Citations: If the document cites cases, check that those cases exist and say what the document claims using Cornell LII or Google Scholar
- Deadlines: Cross-reference any deadlines against court rules for your jurisdiction
- Dollar amounts: Manually verify any financial figures the AI extracts
- Party names: Confirm the AI correctly identified all parties and their roles
Step 5: Compare Versions When Negotiating
If you're in negotiations or tracking changes to legal documents, use a document comparison tool to see exactly what changed between versions. This is essential for:
- Tracking changes between draft contracts
- Comparing an original complaint with an amended complaint
- Verifying that a final consent judgment matches what was negotiated
- Identifying unauthorized changes in operating agreement amendments
Step 6: Know When to Escalate
AI analysis should inform — not replace — professional judgment. Escalate to a licensed attorney when:
- The AI flags high-risk issues you don't fully understand
- You're facing a court deadline
- The document involves significant financial exposure ($50,000+)
- You need to file a response to a court proceeding
- Multiple parties have conflicting interests
- The document involves complex regulatory compliance
The redlining tool can help you prepare specific questions for your attorney by highlighting exactly which clauses concern you, saving attorney time and reducing your legal costs. See our pricing page for details on what Justee offers at each tier.
Frequently Asked Questions
What is AI legal document review?
AI legal document review is the use of artificial intelligence to analyze any type of legal document — including contracts, court filings, motions, complaints, consent judgments, operating agreements, and IP licenses. Justee's AI legal document review platform covers all six of these document categories, processing each in under 60 seconds using purpose-built legal AI. According to Justee's Document Type Analysis, court filings and corporate documents are the fastest-growing upload categories as the technology expands beyond contract-only review.
Can AI review court filings and motions?
Yes. Modern AI legal document review tools can analyze court filings including complaints, amended complaints, motions to dismiss, motions for summary judgment, consent judgments, and court orders. The AI identifies parties, claims, legal arguments, cited cases, deadlines, and relief sought. However, court filings carry higher hallucination risk than contracts, so it's critical to use purpose-built legal AI tools rather than general-purpose chatbots, and to independently verify any case citations.
How accurate is AI for legal document analysis?
Accuracy varies dramatically by tool type. Purpose-built legal AI tools achieve over 90% accuracy in clause identification and document analysis for well-established document types like contracts. For court filings, accuracy depends on the tool's ability to verify legal citations. General-purpose AI chatbots hallucinate legal information approximately 69% of the time according to Stanford HAI research. AI-powered deposition summaries score 24–27% higher in accuracy than manually prepared human summaries according to U.S. Legal Support data.
What are AI hallucinations in legal documents?
AI hallucinations in legal documents occur when AI generates fabricated legal content — including fictitious case names, fake citations to real cases, or real quotes used to support propositions the quoted case doesn't actually stand for. Sterne Kessler's January 2026 database identified 1,153 cases involving AI-generated hallucinations in legal proceedings, with the rate accelerating from 2 per week to 2–3 per day. Hallucinations are most common in general-purpose chatbots, not purpose-built legal AI review tools.
Is it safe to upload legal documents to AI tools?
Safety depends on the specific tool you choose. Look for purpose-built legal AI platforms with AES-256 encryption, SOC 2 Type 2 compliance, clear data retention policies, and explicit confirmation that the platform does not train on user-uploaded documents. Tools meeting HIPAA compliance standards provide an additional layer of protection. Avoid uploading sensitive legal documents to general-purpose chatbots that may retain and use your data for model training.
Can non-lawyers use AI to understand legal documents?
Yes. Non-lawyers — including self-represented litigants, small business owners, and individuals — can use AI to understand legal documents they receive or need to review. AI tools can parse complex legal language into plain-English summaries, identify key deadlines and obligations, and flag potential risks. However, AI cannot provide legal advice, and strategic legal decisions should involve a licensed attorney. Queensland, Australia has published specific guidelines for responsible AI use by non-lawyers in legal proceedings.
What do courts say about using AI for legal documents?
Over 200 judges have issued AI-specific guidance or rulings. The trend is toward mandatory disclosure of AI use in legal filings. The ABA's Formal Opinion 512 addresses ethical GenAI use by lawyers, emphasizing duties of competence, supervision, and candor. Courts have imposed sanctions on attorneys who filed briefs containing AI-fabricated case citations. The same verification expectations generally apply to self-represented litigants — submitting filings with fake citations can result in sanctions regardless of whether you knew they were AI-generated.
How does AI legal document review differ from AI contract review?
AI contract review is a subset of AI legal document review. Contract review focuses specifically on agreements between parties — identifying risks, missing clauses, and compliance issues. Justee's AI legal document review encompasses contracts plus court filings (complaints, motions), corporate documents (operating agreements), IP licenses, deeds of covenant, consent judgments, and court orders. According to Justee's Document Type Analysis, the analytical approach differs by document type: contracts focus on obligations and risks, court filings focus on claims and arguments, and corporate documents focus on governance and authority.
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Sarah Chen, Editor at Justee.ai. She specializes in making legal concepts accessible to business professionals and individuals navigating the legal system.
This article was reviewed by Max Zaykov, Founder of Justee.ai. All statistics cited from the American Bar Association, Sterne Kessler, U.S. Legal Support, and Stanford HAI are sourced from publicly available reports. This article provides legal information, not legal advice. If you need advice about a specific legal situation, consult a licensed attorney in your jurisdiction.