Every document ingested receives an immutable SHA-256 hash at execution time, establishing an unbroken evidentiary chain of custody suitable for courtroom admissibility.
| Exhibit File | Bates Range | Pages | Size | SHA-256 Checksum | Status |
|---|
Ingest 50+ discovery PDFs, extract chronological fact timelines, cross-reference key entities, and pinpoint trial-winning contradictions. Powered by Apple Foundation Models running 100% locally on your Mac—zero cloud uploads, zero per-GB hosting fees.
Experience how Lexnight ingests a multi-file discovery dump (5 exhibits, 11 pages, Bates stamps APEX_000001–APEX_000015), normalizes the chronological timeline, and flags critical deposition perjury in sub-second time.
Every document ingested receives an immutable SHA-256 hash at execution time, establishing an unbroken evidentiary chain of custody suitable for courtroom admissibility.
| Exhibit File | Bates Range | Pages | Size | SHA-256 Checksum | Status |
|---|
Review opposing productions in seconds without leaking confidential attorney-client communications or paying astronomical per-gigabyte cloud fees.
Automatically extracts dates, events, contractual milestones, and verbal claims across hundreds of PDFs into a clean, unified ISO 8601 chronology with exact page citations.
Builds a comprehensive index of organizations, corporate officers, counsel of record, and witnesses. Instantly see frequency of mentions and cross-document appearances.
Cross-examines sworn deposition transcripts against documentary records (like USPS certified mail receipts and email stamps) to uncover witness perjury and fatal legal conflicts.
Generates typed evidentiary manifests and tamper-evident local audit logs. Every file is cryptographically stamped to guarantee integrity for courtroom admissibility.
Compiled strictly without network socket permissions (`com.apple.security.network.client`). The macOS kernel physically blocks the application from initiating outbound traffic.
Harnesses Apple Foundation Models (AFM 3 Core Advanced) natively embedded in Apple Silicon. Ultra-fast, whisper-quiet execution with zero multi-gigabyte weight downloads.
See why litigation partners and compliance officers refuse to upload confidential discovery to cloud legal tools when Lexnight provides provable on-device security.
| Architectural Standard |
Lexnight (On-Device)
Verified
|
Cloud Legal AI (ChatGPT, Harvey, Casetext) |
|---|---|---|
| Document Processing Location | ||
| Network Entitlements | ||
| ABA Formal Opinion 512 Compliance | ||
| Per-Gigabyte E-Discovery Fees | ||
| Air-Gapped Courtroom / Flight Use | ||
| Model Weights Download | ||
| Cryptographic Chain of Custody |
Under ABA Formal Opinion 512 (August 2024), attorneys have an ethical duty of competence and confidentiality (Model Rules 1.1 & 1.6) when deploying Generative AI tools. Uploading privileged discovery to public or vendor cloud models creates severe waiver risks.
Lexnight is compiled with zero network runtime entitlements. Run this single command on your terminal to verify that macOS refuses to grant network capabilities to the Lexnight binary:
Because Lexnight is strictly compiled without network client entitlements (com.apple.security.network.client), confidential client data can never be transmitted across the internet to third-party LLMs. Zero disclosure occurs—eliminating the need for client disclosure waivers or complex cloud business associate agreements.
Predictable subscription pricing with zero per-gigabyte ingestion fees, zero hidden token overages, and an absolute guarantee of local data isolation.
Apply to join our private release or schedule a 15-minute technical demonstration with a founder.
com.apple.security.network.client). This means the macOS kernel strictly prohibits the process from creating outbound sockets. Even if code attempted to phone home, the operating system would immediately drop the packet.
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