LongShift
An AI co-pilot for lawyers and compliance officers drafting 500-plus-page regulatory filings that locks every defined term and cross-reference to its first use, preventing downstream ambiguity.
senior associates and counsel drafting multi-section regulatory submissions such as 10-K, FDA filings, and large RFP responses
- Term registry that auto-extracts every defined term on first use and tracks every later reference
- Cross-section consistency scoring with a red, amber, green dashboard for review cycles
- Auto-generated change-impact memos when an early section is revised
- Audit trail of "what was referenced where" for regulator review
Long technical documents are exactly where the block-boundary error propagation problem in diffusion LLMs shows up, and regulators increasingly reject filings with internal contradictions.
Strong legal AI demand signaled by Harvey AI at $1,200-$2,000/seat/month and dedicated 10-K drafting tools like CaseMark; however LongShift targets a narrow sub-feature (defined-term locking) rather than end-to-end drafting.Harvey AI Pricing 2026: Real Cost, Plans & Alternatives ↗Form 10-K Drafting | AI-Powered SEC Annual Report Generator ↗
Core feature already exists: Litera Check surfaces defined-term, cross-reference, and citation issues across documents; Unplex ships a dedicated Definition Checker; BriefCatch handles legal writing consistency.Legal Document Software | Proofreading - Litera ↗Definition Checker | Ensure Legal Terminology Accuracy and Consistency ↗
Legal buyers pay premium prices ($1,000-$2,000/seat/mo, $50K-$300K annual contracts) and incumbents price on integration/accuracy rather than raw AI; a focused consistency engine could attach via Word plug-in or enterprise license.Harvey AI Pricing: Complete Breakdown for 2026 - Spellbook ↗Legal AI Pricing 2026: Harvey vs CoCounsel vs Clio (Real $) ↗
Regulatory volume and scrutiny are structurally rising (SEC-FDA partnership, mandatory AI disclosure in 10-Ks, increased publishing of Complete Response Letters), and consistency errors in long filings remain a persistent rejection risk.10 takeaways for addressing artificial intelligence in 10-Ks ↗New SEC Leadership Signals Continued Focus on FDA-Related Disclosures ↗
Technically plausible (Litera Check and Unplex prove the consistency-checking workflow exists), but hard to build well: requires deep Word/Litera plug-in integration, regulatory-domain ontologies for 10-K/FDA/RFP taxonomies, and near-zero false-positive tolerance to be trusted by counsel.Legal Document Software | Proofreading - Litera ↗