Beyond Assured is a verification tool designed to independently validate the output of legal AI platforms by checking content for AI-generated hallucinations, citation errors, context mismatches, and tone misalignment. It operates independently of the large language model or drafting tool used to produce the underlying content, and is intended for use before a document is filed.

Key features and functions include:

Rules-Based Citation Detection
Does not use artificial intelligence to detect or evaluate citations. Instead, it applies rules-based logic to identify legal citations, match them to known authorities, and evaluate how they are used in context.

Citation Recognition Engine and Case Law Database
Built on Benchly's proprietary citation recognition engine, also used in Benchly's ezBriefs product, and a curated case law database. Every detected citation is cross-referenced against this database to confirm it refers to a real authority.

Format Error Flagging
Flags citation format errors and context mismatches, and displays suggested corrections for user review.

Quotation, Context, and Tone Verification
Checks whether quoted text is present in the cited source and performs context and sentiment analysis to confirm that the tone of an argument aligns with the intent of the cited authority.

Opposing Filing Review
Allows users to upload an opposing party's filing to review its position, identify weaknesses, and locate case law to support counterarguments.

Trial Materials Preparation
Generates trial binders of cases or timelines of evidence, with the ability to hyperlink or batch print exhibits, case law, and related content.

Collaboration Tools
Supports collaborative document review, allowing team members to annotate, comment on, and highlight text within an uploaded document.

Auditable, Consistent Output
Because results are produced through rules-based logic rather than AI interpretation, output is consistent and auditable, without the variability associated with AI-driven review tools.