Verification in Legal AI Is a Design Problem
Lawyers remain responsible. Legal AI should make its work easy to check before they sign.
Document Overload? How AI Fact Management Cuts Review Time
How legal teams can reduce repeat document review by structuring facts, sources and gaps across a litigation matter.
Document overload in litigation is not only a storage problem. The files may already be organized in a document management or eDiscovery system and still require the legal team to reconstruct the same factual account for each new task.
A lawyer reviews the emails for a chronology, returns to them for a witness brief, checks them again while preparing submissions and repeats the exercise when a new document changes the sequence. The cost comes from repeatedly turning documents into understanding.
Where review time goes
Across a large matter, the team has to identify people, dates and events, resolve inconsistent names, follow references across documents and preserve the source for each factual claim.
The work becomes slower when the same event is described differently across files, dates are implied rather than stated, an attachment is referred to but absent, or several team members maintain separate timelines.
A faster search interface helps locate documents. It does not preserve the factual work already done.
From a document set to a factual record
A factual record sits across the matter documents and keeps each fact connected to the evidence from which it came.
It should let a lawyer inspect the exact source and context, correct an extraction, connect related people and events, identify conflicting accounts, record missing material and reuse the reviewed factual state in later work.
Chronologies are one output from that record. Matter summaries, gap analysis, bank analysis and drafts can use the same reviewed facts without reconstructing the matter from scratch.
What AI can accelerate
Language models can read unstructured documents and propose factual structure much faster than a manual first pass. The product still needs to show the lawyer what it did.
A generated summary with several citations does not reveal whether the full record was processed, which facts were omitted or whether a lawyer’s correction will persist. Speed and reviewability need to be measured together.
A practical evaluation
Test the system on a closed matter the team knows. Record the time to a usable first factual record, source-review time, material facts missed, unsupported claims, corrections required and whether later work uses the corrected record.
The National Compensation Lawyers case study is one published example of a firm measuring document-review time on real work. Any broader percentage should identify the task, sample and method behind it.
How Mary approaches the problem
Mary reads the matter documents and builds a structured factual record. Each fact remains traceable to its source so the lawyer can inspect and correct it. The same record can then support chronologies and other work across the matter.
The complete guide to legal fact management explains the underlying process in more detail.