Professional-Grade Legal Intelligence. Changing the Practice of Law.
Defensible infrastructure for high-stakes litigation. Tracing every assertion to its source. Automatically.
The Veracity Engine
Every assertion traced to its source. Automatically.
Every legal assertion in your documents passes through a multi-stage verification pipeline. Citations are resolved through agentic lookup across federal and state databases, with automatic fallback retrieval when primary sources are unavailable. Quotes are compared word-for-word against the actual source text. Legal propositions are validated against the holdings they claim to support. Treatment history confirms the authority has not been overruled, questioned, or limited. Every verified authority is cached in the Sovereign Library, so the next user who cites the same case gets instant verification at zero cost. The result: verified work product you can file with confidence.
GuideOne Elite Ins. Co. v. Fielder Rd. Baptist Church, 197 S.W.3d 305 (Tex. 2006)
Confirmed · 197-sw3d-305
“the factual allegations in the complaint potentially fall within the policy’s coverage”
Insurer’s duty to defend triggered when factual allegations potentially fall within coverage
Eight-corners rule confirmed
Bowers v. Hardwick, 478 U.S. 186 (1986)
Proactive Authority Detection
Verification that runs without being asked.
Every other legal AI waits for you to ask whether its citations are real. That is reactive verification — it only works if you already suspect a problem. By then, the hallucination may already be in your work product.
Proactive Authority Detection runs automatically on every AI response before you see it. It identifies every citation, resolves each one against external databases, checks shepardizing status, and flags bad law, without a single additional prompt.
Dual-Track Auditing splits verification into two independent checks: existence confirmation (is this a real case?) and characterization validation (does the holding actually say what the AI claims?). Both must pass. If either fails, you know immediately, and with the specific reason, not a generic warning.
Verified Research Pipeline
Every result proven real before you see it.
Large language models fabricate legal citations 20-40% of the time. Not approximately wrong citations. Completely invented cases with plausible-sounding names, reporters, and page numbers. It gets worse with niche issues or when you need specific authorities from a specific state, because those cases appear less frequently in the training data. Ask any AI about Fourth Amendment digital privacy and it will confidently cite non-existent circuit court opinions alongside real Supreme Court landmarks. Every result from the Research Pipeline passes through a four-step elimination process: existence verification against federal and state databases, holding extraction from actual source text, proposition alignment to confirm the authority actually supports the stated legal point, and treatment analysis to ensure it has not been overruled. Fabricated results are caught and removed before they ever reach your screen. What remains is a verified set of authorities you can cite without hesitation.
Fourth Amendment digital privacy — warrantless surveillance — cell-site location information
Juxtaposition Analysis
Tactical deconstruction of the adversarial record.
Juxtaposition is an automated, multi-document comparison engine designed to expose tactical disparities between competing filings. Map an opponent’s Motion to Dismiss against your Complaint, a contract draft against the executed version, or any two documents where the differences matter. The engine identifies every misstatement, every unsupported legal claim, and every argument that your existing record already addresses. It provides a granular, paragraph-by-paragraph map of contradictions, pinpointing exactly where the opponent’s assertions collapse in the face of your factual allegations. Devastating at the pleading stage for securing a denial of the motion and exposing evidentiary gaps in the adversarial position.
Plaintiff's fraud claim fails because the Complaint contains no allegation that Defendant made any representation regarding the property's environmental condition prior to closing. See Compl. ¶¶ 1-68.
¶ 34. On March 3, 2024, at Harris & Webb LLP, Defendant's VP of Acquisitions James Rourke stated: “Phase II cleared the site. There are no environmental concerns.”
¶ 35. Defendant produced this in writing via email on March 5, 2024, attaching “Environmental Status — All Clear.”
¶ 36. Plaintiff executed the Purchase Agreement on March 12, 2024, committing $4.7M in reliance.
Sovereign Library
Gets smarter with every user. Instant. Free.
Every verified authority is cached in the Sovereign Library with full opinion text and treatment metadata. When any user on the platform verifies a case, every future lookup for that same authority is instant and costs zero tokens. The library grows with every verification run, every research query, every shepardizing analysis across all users.
Over time, the most cited authorities in American law accumulate comprehensive treatment histories: which courts followed the holding, which distinguished it, which questioned or overruled it. Full shepardizing is built in. Citing case history, treatment classification, adverse signal detection, and the actual quotes from citing opinions showing how each court characterized the authority.
The Sovereign Library is the shared foundation. Your Knowledge Base is private. The combination means the AI draws from verified public law and your firm’s institutional knowledge simultaneously.
Plan Mode
Define the workflow. Approve once. Come back to a finished product.
Complex legal work is not a single prompt. It is a sequence of interdependent operations. Plan Mode chains these into a pipeline of autonomous execution. For example: Ingest, Juxtapose, Outline, Draft, and Verify. Manage dependencies across multiple AI models, executing steps in parallel or sequence based on the requirements. Integrated Veracity Correction Gates ensure every draft is subjected to multi-layer review: a strategic assessment and a granular citation-fidelity check. Insert human-in-the-loop review points at any stage to curate findings, approve AI-suggested corrections backed by real-time research, or redirect the drafting strategy before proceeding. Apply this to any multi-step legal workflow: MTD opposition, contract review and redline, discovery analysis and privilege log, research and brief drafting. From initial ingestion to the final verified work product, Plan Mode provides defensible infrastructure for the automated production of billable-grade output.
Document Intelligence Pipeline
We solved the context window problem.
Every AI has a context window. Send it a 200-page contract and attention fades. Middle pages get lost. The analysis of page 150 is shallower than page 5. This is the fundamental limitation of every other AI platform. We took a different approach. Instead of one giant call, the Document Intelligence Pipeline breaks every document into potentially hundreds of focused analysis calls, each examining a specific section at full depth. 16 specialized extraction engines. 20+ analysis lenses. 30+ result cards. The AI gives page 150 the same attention it gives page 5. The effective context window is limitless. No fidelity loss. No lost pages. No degraded analysis.
Sovereign Shield
Defending the Privilege.
Standard cloud AI platforms operate on a “Policy-First” model. They ask counsel to trust that data is not shared, not trained upon, and kept confidential. But in high-stakes litigation, legal privilege does not rest on a promise. It rests on the expectation of confidentiality.
In United States v. Heppner (S.D.N.Y. 2026), “a question of first impression nationwide,” the court exposed the structural “Privilege Gap” in standard AI infrastructure.
The Heppner Precedent: The Death of the “Reasonable Expectation”
In Heppner, Judge Rakoff ruled that a defendant’s exchanges with a frontier AI model were not protected by attorney-client privilege or the work product doctrine. The court’s reasoning creates a new standard of care for legal professionals:
The Policy Waiver: The court noted that users consent to privacy policies that allow the provider to collect “inputs” and “outputs,” use that data for “training,” and reserve the right to disclose data to “governmental regulatory authorities” or in connection with “litigation.”
Third-Party Access: Because the AI provider maintains the technical and contractual ability to access the data, the court ruled that the user had “no ‘reasonable expectation of confidentiality in his communications’ with Claude.”
The “Kovel” Gap: The court suggested that AI might only be privileged if it functions as a lawyer’s highly trained agent (the Kovel doctrine)—a standard that standard consumer-grade or enterprise-grade “cloud” AI cannot meet because the provider remains a “non-confidential third party.”
Sovereign Shield: Closing the Gap with Mathematical Proof
Plaintiff Zero’s Sovereign Shield was engineered specifically to address the vulnerabilities exposed by the Heppner ruling. We replace “Trust in Policy” with “Hardware-Enforced Sovereignty.”
1. Eliminating the “Third-Party Access” Argument
Judge Rakoff’s ruling turned on the fact that the AI company could access the data. Sovereign Shield uses Trusted Execution Environments (TEEs). All AI processing occurs within encrypted hardware enclaves. The data is invisible to the cloud provider, invisible to us, and invisible to third parties. There is Zero Data Retention: Data exists only in volatile memory during the inference call and is permanently purged the millisecond the result is delivered.
2. Opting Out is Not Enough; Isolation is Required
The Heppner court was unimpressed by “opt-out” settings, noting that the provider still “reserves the right” to access data. Sovereign Shield removes that right through PCR Hash Verification. Platform Configuration Registers confirm the exact version of the code running inside the enclave. We provide Cryptographic Attestation: An immutable digital signature, verified by the hardware manufacturer, proving that the code running in the enclave is physically incapable of retaining or sharing data.
3. Establishing “Kovel-Grade” Infrastructure
Kovel-Grade Architecture: By using counsel-directed, hardware-isolated infrastructure, your use of AI functions as a highly trained agent of the firm, maintaining the zone of full and frank communication required for effective representation. Sovereign Shield provides the confidential zone required for this relationship. By removing the third-party intermediary from the loop, we restore the “reasonable expectation of confidentiality” that standard AI destroys.
Curation
Research conversation to structured brief ammunition. One click.
Curation is the hardest part of using AI for legal work. Essential facts and citations are scattered across dozens of messages. Starting a new conversation means losing that context. Sharing with a colleague means asking them to comb through someone else’s AI chat. Curation solves all of it. Scan the conversation, detect every legal issue discussed, and extract exact quotes, reasoning, and findings organized by doctrine. Select specific messages, provide natural language instructions, or let the system detect issues automatically. Full provenance on every extraction. The curated report becomes the ideal way to seed a fresh conversation without burning tokens re-ingesting documents, or to hand off research to a colleague with the noise stripped out and the findings structured.
Knowledge Base
Your firm. Your matters. Your AI.
Plaintiff Zero doesn't just know the law. It knows YOUR practice. Upload contracts, memos, templates, and briefs. The AI searches your firm's institutional knowledge when answering: past strategies, writing styles, individual judge's rules, local practice conventions. Scoped by project, filtered by jurisdiction, accumulated across conversation turns.
Your Knowledge Base is private to your firm. Never shared with other users. Never used to train models.
Citations Tab
Bluebook compliance at a glance. Every citation checked before you file.
Every citation in your document — verified, formatted, and compliance-checked against the Bluebook. A health score tells you instantly how many citations are valid, how many need attention, and which ones have one-click fixes. Hover over any citation in the editor for validation status, suggested corrections, and the specific rule violated.
Ashcroft v. Iqbal, 556 U.S. 662 (2009)
Bell Atlantic v. Twombly, 550 U.S. 544 (2007)
Conley, 355 U.S. 41, 45-46
International Shoe Co. v. Washington, 326 U.S. 310 (1945)
Daimler AG v. Bauman, 134 S. Ct. 746 (2014)
Use 571 U.S. 117 — official U.S. Reports cite available
Suggested correction:
Daimler AG v. Bauman, 571 U.S. 117 (2014)
R. 10.3.1 — Use official U.S. Reports citation when available
Bristol-Myers Squibb Co. v. Superior Court, 137 S. Ct. 1773 (2017)
Billable Hours
Time, Billing & Calendar
Stop reconstructing your day. Start reviewing it.
The modern legal workflow is broken. Planning happens in one place, billing in another. Lawyers reconstruct their day at 6pm from memory, losing 20-40% of billable time. Plaintiff Zero creates a digital memoir of your workday, capturing activity as you draft documents and conduct research. AI-generated billing narratives, gap detection for unbilled periods, and a calendar that flows directly into your timesheet. Zero-entry timekeeping: review and accept, instead of reconstruct and guess.
The Complete Platform
Every capability a litigation practice needs. One subscription.
Document Editing
Real-time collaborative
Version Control
Word-level diff, auto-save
Citations Tab
Bluebook compliance, health score
Time & Billing
AI narratives, gap detection
Calendar & Deadlines
Conversational management
Knowledge Base
Firm-private, AI-searchable
RBAC & Sharing
Granular permissions
Matter Management
Entity graph, party index
Curation System
Conversation to brief
Dashboard Intelligence
Widgets, workflow tracking
Immediate Action Pad
Zero-friction AI chat
Export
Documents, conversations, PDF
