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Legal & Tax · Knowledge Intelligence

In law and tax,
"unknown" is safer than
confidently wrong.

Evidence-grounded analysis with source citation, compliance checking against current rules, and fail-closed reasoning that refuses to fabricate when evidence is insufficient. Built for the environments where a confident wrong answer creates malpractice exposure.

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EVIDENCE-GROUNDED ANSWERS · SOURCE CITATION ON EVERY ANSWER · FAIL-CLOSED · NO FABRICATION · COMPLIANCE-NATIVE REASONING · DISAMBIGUATES OVERLOADED TERMS · EVIDENCE-GROUNDED ANSWERS · SOURCE CITATION ON EVERY ANSWER · FAIL-CLOSED · NO FABRICATION · COMPLIANCE-NATIVE REASONING · DISAMBIGUATES OVERLOADED TERMS ·

The worst thing AI can do
in legal and tax is sound certain.

Hallucinated case citations. Tax positions based on code sections that don't exist. Regulatory interpretations that conflate similar-sounding provisions. These are not hypothetical LLM failure modes — they are documented incidents with real consequences for practitioners who relied on them. Helixor doesn't know how to hallucinate.

Fabricated Citations

Attorneys have faced sanctions for citing cases that don't exist.

LLMs produce case names, docket numbers, and quotations that pass superficial review but don't exist in any court record. The fluency of the output is the trap — there's no obvious signal that the citation is fabricated. Helixor answers only from verified sources. If it can't cite a real document, it says so.

Term Disambiguation

The same phrase means different things across different doctrines.

"Constructive receipt," "basis," "material participation," "control" — these terms have precise, jurisdiction-specific, and context-specific meanings that vary across code sections, treaties, and case law. Helixor's disambiguation layer identifies the specific meaning in context rather than producing a general-purpose definition that may be incorrect for the question being asked.

Compliance Checking

Regulatory rules change. Models trained on last year's rules are a liability.

Tax code changes, new regulatory guidance, and evolving case law create a knowledge currency problem for any static model. Helixor's knowledge base can be updated as rules change — and its constraint-native architecture enforces current rules on every compliance question, flagging when the applicable rule requires verification against current guidance.

Document Analysis

Contract review requires precision at the clause level, not paragraph summaries.

A contract analysis that misses a limitation of liability clause, mischaracterizes an indemnification scope, or fails to identify a change-of-control trigger is worse than no analysis. Helixor extracts claims at the clause level with source page references, surfacing what exists rather than generating what might plausibly be there.

From document intake
to compliance confirmation.

01 · Legal Research

Answers from verified sources. Citations that exist.

Case law, statutory text, regulatory guidance, and secondary sources — queried with provenance. Every answer includes the source, the page, and the context. When evidence is insufficient to answer, Helixor says so. Not "here is a case that might be relevant."

02 · Tax Research

Code sections, regulations, and rulings — verified and cited.

IRC provisions, Treasury regulations, revenue rulings, and PLRs — analyzed against the specific question, with disambiguation for overloaded terms. Tax positions supported by verified citations. Positions that cannot be supported surfaced explicitly rather than approximated.

03 · Contract Analysis

Clause-level extraction with page references.

Material terms, obligations, limitations, and risk provisions — extracted at the clause level with source page citations. Identified gaps, ambiguous language, and missing standard provisions flagged for review. No generated summaries that smooth over the substance.

04 · Compliance Checking

Constraint-native eligibility and rule verification.

Regulatory eligibility rules, filing requirements, and statutory compliance conditions — evaluated as constraint problems. "Is this entity eligible for X?" resolved against current rules, with the specific rule provisions and the constraint evaluation chain surfaced alongside the answer.

05 · Due Diligence

Systematic document review across large corpora.

M&A due diligence, regulatory review, and litigation document analysis — processed systematically with consistent clause extraction, issue flagging, and cross-document consistency checking. Every finding is traceable to its source document and page. No summaries without citations.

06 · Knowledge Management

Firm precedents and internal knowledge — queryable with provenance.

Prior work product, research memos, and client-specific knowledge — indexed and queried with attribution. Answers draw from what the firm actually knows, with citation to the source document. Knowledge stays on your infrastructure. No client data leaves the firm.

Every query grounded.
Every answer cited. Continuously.

Helixor processes legal and tax queries in real time — returning evidence-grounded answers with source citations, or explicit failures when evidence is insufficient. The feed below shows the query types and outcomes as they happen.

Helixor Legal & Tax Intelligence Feed — Live
--:--:--
Time Type Query / Finding Citation
0
Queries Processed
0
Answers with Citation
0
Refused (No Evidence)
0
Fabricated Citations

The AI that says "I don't know"
when it doesn't know.

Answers grounded
in actual evidence.
Every Helixor answer in a legal or tax context is traceable to a specific source document, code section, or precedent — with the page reference and the extracted context included. When no evidence exists to support an answer, Helixor returns an explicit indication that the query cannot be resolved from available sources. The alternative — a confident answer fabricated from statistical patterns — is a professional liability risk.// source, page, context included with every answer. "unknown" when evidence is insufficient.
Disambiguates terms
that matter most.
Legal and tax language is filled with terms whose meaning depends on the specific doctrine, code section, jurisdiction, and context in which they appear. Helixor's disambiguation layer resolves these overloaded terms to their context-specific meaning before answering — distinguishing between the same surface term used in completely different legal frameworks, rather than producing a definition that may be accurate in the wrong context.// critical for terms that appear in multiple doctrines with different meanings
Compliance rules
enforced, not described.
There is a difference between a model that can describe regulatory requirements and a system that enforces them as constraints on every answer. Helixor's constraint-native architecture treats regulatory eligibility rules, filing requirements, and compliance conditions as first-class constraints — evaluating queries against them and surfacing the specific rule provisions and constraint evaluation chain in the output.// constraint enforcement, not language generation about constraints
Client data stays
on your infrastructure.
Attorney-client privilege, work product protection, and the ethical obligations governing client confidences are incompatible with sending client information to a cloud inference endpoint for every query. Helixor runs on your hardware — processing documents, answering queries, and managing firm knowledge without transmitting anything to external systems. The confidentiality is architectural.// on-premise deployment, no external calls, no data transmission

Ready for AI that cites its work
and refuses to fabricate?

Active conversations with law firms, tax practices, and legal technology companies. Tell us where fabricated answers are your biggest risk.