Litigation risk · HiveLit

HiveLit.
Know what's coming before you get sued over it.

We surface patent troll exposure, venue trends, and Markman case law for every claim you hold. You'll see the fight coming before it starts.

Quality tier · live today

HiveLit · Gold · 85+

What it's cleared for: Internal research and attorney work product.
It stays inside your firm. Use it for working drafts, internal memos, and case prep notes.
Delivery rules
Every copy is watermarked 'INTERNAL, NOT FOR CLIENT DISTRIBUTION.' Don't send it to clients or use it in a court filing.
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+): add a PACER bulk data subscription for full US litigation records. That's an optional $1,200/yr add-on.
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

Agent identity

Every time you mint HiveLit, it gets its own decentralized ID (a DID), signed with your bar credentials. Any operator revenue share requires a separate agreement; it is not automatically created by a receipt.

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 and the signed result

HiveLit isn't a chatbot. It's a team of specialized sub-agents. Each one signs its own output, and all of them fold into the final receipt. You can replay any step to see how it got there.

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

Run outputs

  • A patent troll exposure score for each product, rolled up across the whole portfolio
  • Venue trends: claim construction rates, time to Markman, and how often plaintiffs win
  • Assess history for any patent you name
  • A settlement range model built from comparable cases
  • A signed risk receipt you can hand to the board or audit committee
Why HiveLit beats current practice

Compare the four models and their recorded disagreements.

Right now, litigation prep means burying an associate in PACER for two weeks. Markman positions come from gut feel. The damages model rests on one expert, and the other side's expert tears it apart on cross.

Here's what HiveLit does differently. Four AI models read the full case file, prior Markman rulings, and the patent's file history in depth. Every claim term gets 4 separate Markman positions, each ranked by how likely it is to win. Damages get 4 separate reasonable-royalty models with a range of outcomes. Your cross-examination prep pulls from every weakness all 4 models find.

Deliverable What you actually get Defensibility
Today's litigation prep 1 associate, 2 weeks, gut-feel Markman position, one damages expert gut feel
HiveLit receipt 4 AI models, Markman win odds, 4 damages models, full range shown audit-grade
Labor budget today → Hive Today: 60 to 120 hours of associate time, costing $30K to $80K per matter before trial.
With HiveLit: $2,000 to start, 80% goes to the attorney of record, and you get 4 ranked Markman positions.
labor, not SaaS
Chain of custody

Mint a receipt for any HiveLit output.

Paste a HiveLit output below. We hash it, record what ran, and sign the receipt off-chain with ML-DSA-65 for offline verification. Any chain anchor must be separately selected and specified.

Pricing tiers

HiveLit pricing.

Pricing covers the selected workflow, receipts, and signing infrastructure. Any attorney revenue share must be separately agreed and documented.

TierPriceScope
Risk Scan$2K to $10KPer-product or per-line of business.
Enterprise$100K to $500K / yrContinuous litigation-risk telemetry across the org.
Data handling. Client-side hashes and server-side text processing have different boundaries. Logging, storage and retention are endpoint-specific. See Privacy.