AI detector for Lawyers

1. 1

   Receive draft brief, contract, or deposition transcript

2. 2

   Run through AI Checker for AI-content screening

3. 3

   Cross-reference flagged sections with original source documents

4. 4

   Document any AI-assisted drafting per applicable jurisdiction rules

5. 5

   Use detection results in compliance and quality assurance workflows

The lawyers use case, in detail.

Legal use of AI detection is rising as courts and regulators address AI-generated filings. Several US courts now require disclosure of AI-assisted content in briefs, and at least one judge has sanctioned lawyers for AI-fabricated case citations. AI Checker is used by law firms in three ways: vetting incoming work product from associates and external counsel, due diligence on contract drafts in M&A workflows, and authenticity verification on deposition transcripts and statements. The sentence-level breakdown is especially valuable in legal contexts because partial AI use is common (associates drafting standard sections with AI assistance is increasingly accepted), but fully AI-generated argumentation is generally not. Our enterprise tier includes audit logging for compliance documentation, plus an on-premise deployment option for firms with strict data handling requirements.

The lawyers workflow, in depth.

The legal profession's relationship with AI detection has tightened considerably since the first widely-publicized sanction of attorneys for filing briefs with AI-fabricated case citations (Mata v. Avianca, 2023). By 2026, more than thirty US federal judges have standing orders requiring disclosure of AI-assisted briefs, several state bars have issued ethics opinions on AI use in legal practice, and at least one major insurance carrier now requires AI-detection screening as a condition of malpractice coverage for firms above a size threshold. AI Checker's legal tier is positioned for this compliance landscape rather than for adversarial use against opposing counsel. The three primary workflows are: vetting incoming work product from associates and external counsel before filing, due diligence on contract drafts in M&A and licensing workflows where authorship attribution matters for negotiation history, and authenticity verification on deposition transcripts and statements where transcription accuracy intersects with AI-assisted summarization. The sentence-level breakdown is particularly valuable in legal contexts because partial AI use is increasingly accepted in firms — associates drafting standard sections (statements of facts, procedural history) with AI assistance is normalized, while AI-drafted argumentation and case-law analysis is generally not. AI Checker's enterprise legal tier includes audit logging that meets the documentation requirements of major compliance frameworks, on-premise deployment for firms with strict data-residency requirements (common in EU and UK practice), and integration with iManage and NetDocuments DMS platforms. For litigation support specifically, the tier provides chain-of-custody-friendly export formats useful for evidentiary use of detection results. The legal team within AI Checker maintains a public position that detection scores should not be the sole basis for any adverse professional action; we provide template policy language and ethics-opinion summaries that firms can adapt for their internal AI-use governance.

Built for lawyers who need actionable detection.

• Sentence-level breakdown. Every result includes per-sentence scoring with the most likely source model identified — so the output is actionable evidence, not just a single percentage.
• Free tier with no daily traps. Up to 10,000 characters per check, unlimited checks per day, no signup required. Paid tiers exist for volume and team features, not as a tax on the free experience.
• API access on every plan. Integrate detection into your existing workflow with a clean REST API. Documentation includes example clients in TypeScript, Python, Go, and Rust.
• Privacy-first by default. Submissions are processed in memory and not used to train models. No third-party advertising trackers. Read our security & privacy policy for the long version.
• Multi-model coverage. We detect ChatGPT, Claude, Gemini, Llama, Mistral, Microsoft Copilot, and emerging open-source variants — not just GPT.

Detection by model, comparison, and language.