Litigation risk · HiveLit

HiveLit.
Know what gets asserted before it gets asserted.

NPE exposure, venue analytics, Markman case-law surfaced per claim. Know what gets asserted before it gets asserted.

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Quality tier · live today

HiveLit · Gold · 85+

Confirmed use: Internal research / attorney work-product.
Inside the firm. Working drafts, internal memos, case-prep notes.
Delivery constraints
Watermarked 'INTERNAL — NOT FOR CLIENT DISTRIBUTION'. Not delivered to clients. Not used in pleadings.
Scorecard
Today
85
Gold
This week
90
Platinum
Stretch
93
Platinum
Free-data ceiling: 90/100 · Year-1 data cost: $1,200/yr
To reach Double Platinum (95+): PACER bulk data subscription for complete US litigation metadata — $1,200/yr optional bridge.
Primary free-data APIs:
CourtListener + RECAP · USPTO PTAB API v3 · ITC EDIS · UPC CMS public API · EPO Opposition Register · BPatG (DE nullity) +6 more
Agent identity

One agent, one DID.

Every HiveLit mint produces a unique decentralized identifier signed by your bar credentials. The 80/20 split is enforced by the contract layer — every receipt this agent emits clears 80% to your wallet of record.

did_pattern did:hive:agent:LASTNAME-FIRSTNAME-lit-001 split 80% attorney · 20% Hive rail USDC on Base 8453 · ACH · Friday payouts signature ML-DSA-65 (post-quantum) receipt_kind hivelit.v1
The agent swarm

Six sub-agents under one signature.

HiveLit isn't a chatbot. It's a recursive swarm of specialized sub-agents whose outputs are individually signed and folded into the final receipt. You can replay any sub-step.

npe-portfolio-watchervenue-analyticsjudge-history-modellermarkman-resolverexposure-scorerreceipt-signer
Deliverables

What every run produces.

  • Per-product NPE exposure score with portfolio-level rollup
  • Venue analytics — claim construction rates, time-to-Markman, plaintiff win rates
  • Judge history pull for any named patent
  • Settlement-band model based on comparable cases
  • Signed risk receipt for board/audit-committee submission
Why HiveLit beats current practice

Four models. One signed receipt. Disagreement made visible.

Litigation prep buries an associate in PACER for two weeks. Markman positions are inferred from intuition. Damages models are propped up by one expert and crushed in cross.

How HiveLit is different. HiveLit's 4-model Council reads the full case file, prior Markman rulings, and the file wrapper at R4 depth. Every claim term gets 4 independent Markman positions ranked by win probability. Damages get 4 independent reasonable-royalty models with sensitivity bands. Cross-examination prep is the union of all 4 models' weakness lists.

Deliverable What you actually get Defensibility
Today's litigation prep 1 associate · 2 weeks · gut-feel Markman · single damages expert gut feel
HiveLit receipt 4-model Council · Markman win-prob · 4 damages models · sensitivity bands audit-grade
Labor budget today → Hive Today: 60–120h associate time · $30K–$80K per matter pre-trial
With HiveLit: $2,000 starter · 80% to the AG · 4 Markman positions ranked		 labor, not SaaS
Chain of custody

Mint a receipt for any HiveLit output.

Paste a HiveLit output below. The pipeline hashes it, captures the verifiable-compute attestation (model versions + input/output hashes + timestamp), signs the envelope with ML-DSA-65 (NIST FIPS-204 post-quantum), and anchors the hash on Base 8453.

Pricing tiers

HiveLit pricing.

Every tier clears 80% to the attorney of record. Hive's 20% covers the rail, the receipts, and the signing infrastructure — nothing else.

TierPriceScope
Risk Scan$2K – $10KPer-product or per-line of business.
Enterprise$100K – $500K / yrContinuous litigation-risk telemetry across the org.
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