Consumer arbitration intake engine
Consumer arbitration intake engineered for high-volume dispute dockets.
Scaling mass consumer arbitration against predatory lenders, solar financing companies, and deceptive service platforms requires industrial data discipline. Rooted in our structured legal intake architecture, OBE parses consumer contracts, enforces truth hierarchies over oral statements, and compiles review-ready arbitration demands for AAA and JAMS filings.
Zero re-keying to arbitration demands
Claimant answers and contract extractions assemble into standardized statements of claim.
Deterministic truth hierarchies
Signed loan agreements and financing terms outrank conflicting telephone recollections.
Arbitration forum compliance
Automated verification of mandatory dispute clauses, class action waivers, and fee schedules.
I · The high-volume arbitration bottleneck
Why standard litigation intake breaks under hundreds of coordinated claims.
Filing individual arbitration demands under American Arbitration Association or JAMS supplementary rules requires identical evidentiary precision across every single claimant file. When a firm signs five hundred consumers harmed by the same unfair trade practice, collecting contracts and loan disclosures through manual email attachments overwhelms paralegals.
Without specialized intake pipelines, firms drown in missing documentation. Files sit incomplete because consumers forget to send promissory notes, while staff lose track of which claimants paid filing fees or executed arbitration waivers.
Document-first onboarding
Claimants upload financing contracts, billing records, and cancellation notices directly from mobile browser interfaces.
Dynamic missing-document tracking
Active checklists notify claimants and intake staff of the exact missing exhibits needed to complete the arbitration dossier.
Automated filing fee tracking
Systems verify fee advance requirements before cases transition to formal attorney review queues.
II · Document extraction and truth hierarchies
Preventing data errors and language model hallucinations on complex financial contracts.
Consumer credit agreements, solar leases, and digital terms of service contain dozens of complex terms, including arbitration delegation clauses, fee-shifting provisions, interest rates, and opt-out windows. Asking intake operators to manually extract these variables leads to costly errors.
OBE applies trained deterministic extraction models that pull interest rates, principal balances, signature dates, and arbitration clauses into structured JSON records. When oral statements from telephone interviews conflict with signed contract figures, the Entity Engine enforces strict truth hierarchies that prioritize executed instruments over unverified recollections.
Coordinate-linked financial extraction
Principal amounts, annual percentage rates, and fee schedules link directly to page coordinates on promissory notes.
Mandatory arbitration clause parsing
The engine identifies forum selection rules, pre-dispute notice periods, and mediation requirements automatically.
Hallucination-free records
Deterministic rules prevent generative language models from inventing contract numbers or altering dispute dates.
III · Assembling filing-ready demand packages
Turning intake files into structured AAA and JAMS statements of claim.
An intake file has completed its mission when an attorney can review the underlying evidence and approve an arbitration demand in a single sitting. The package must assemble the consumer narrative, extracted contract terms, calculated statutory damages, and attached PDF exhibits into a uniform format.
As proven in our work scaling Bennett Legal from zero to 642 consumer claims, structured intake transforms messy claimant records into an institutional legal operation. Attorneys focus on settlement strategy and bellwether arbitration hearings rather than administrative document chasing.
Standardized demand dossiers
Every case package arrives with indexed PDF exhibits, claimant identity proof, and calculated statutory penalties.
Single-click attorney approval gate
Supervising attorneys inspect verified facts and sign off on arbitration filings under Model Rule 5.3.
Open data export via MCP
Firms export completed dossiers as ZIP packages or access structured case variables through private MCP servers.
Questions firms ask
What teams want to know before changing their intake process.
01What makes consumer arbitration intake different from personal injury intake?
Consumer arbitration intake focuses on mass dispute coordination, extracting complex financial contract terms, and preparing standardized AAA or JAMS filing demands.
02How does the Entity Engine resolve conflicts between phone notes and contracts?
The Entity Engine enforces strict truth hierarchies. Executed loan agreements and signed promissory notes outrank unverified claimant statements every time.
03Can firms export complete arbitration filing dossiers?
Yes. Law firms can download self-contained ZIP dossiers with indexed PDF exhibits or query structured case variables directly through private MCP servers.
04Does OBE handle AAA and JAMS fee advance tracking?
Yes. Active checklists track filing fee payments and dispute prerequisites before files transition to final attorney filing queues.
Keep reading
Choose the guide that matches the work in front of you.
Legal intake library
Find the part of intake your team is fixing.
These guides cover what happens after a new inquiry arrives: follow-up, staffing, documents, recorded calls, software, and campaign volume.
Tim Ottowitz, Founder and CEO, OBE, checks these pages for product and operations accuracy. His review is not legal advice or a review by counsel in any jurisdiction. OBE publishes software and operations information. Each firm sets its own policies for conflicts, acceptance, engagement, qualification, and filing, including which operational steps authorized staff may handle. Lawyers remain responsible for legal judgment, analysis, strategy, and client advice. Product terms and operating limits are set by the signed agreement.
Bring one case
Show us where the file breaks down.
Bring a case type your team knows well, plus the questions, documents, handoffs, and exceptions that make it hard to run. We'll trace it with you and show where OBE can cut duplicate entry, flag missing information, and keep each fact tied to its source.
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