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The fine print, finally in focus for document and contract analysis

Zero in on the pain points behind contract and document analysis, plus the thought leadership, best practices, industry news, and legal technology built to solve them

Why this matters

Manual document-review bottlenecks

Attorneys and paralegals report that reviewing large volumes of emails, records, and transcripts requires a substantial amount of their time.

Risk hides in the fine print

A single missed clause or unfavorable term doesn't stay small. Flawed contract terms alone can drain significant annual revenue.

The volume keeps climbing

Deal-close timelines have nearly tripled in the last decade, even as document volumes behind every deal, dispute, and compliance review keep growing.

Contract review and risk analysis

  • Free up your most experienced reviewers for negotiation and strategy instead of clause-by-clause reading
  • Search across a full contract portfolio in plain language and get answers grounded in the actual text, not a keyword guess

How a financial services legal team cut review time by 75% with Thomson Reuters Gen AI solutions

See how this financial services legal team reduced review time by up to 75% and delivered $200,000 in annual cost savings

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How AI-powered contract analysis is delivering efficiencies for modern law departments

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Buyer’s guide for AI contract review and analysis solution

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Transform manual contract review: How CoCounsel Legal streamlines commercial transactions

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Due diligence and mergers and acquisitions (M&A) review

  • Reduce reliance on outsourced document review while keeping quality consistent across every reviewer on the team. 
  • Automatically extract obligations, risks, and key terms so partners can verify findings at a glance instead of re-reading every file. 

Delivering smart, secure data rooms

Shepherd and Wedderburn sought a best-in-class, prebuilt solution to create 200 transaction sites.

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Solving M&A due diligence: How AI delivers faster, more consistent results

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Step-by-step guide to M&A legal due diligence

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AI for compliance and due diligence

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E-discovery and litigation review

  • Keep a human reviewer in the loop where AI handles first-pass triage and extraction while your team makes the calls that matter. 
  • Scale review capacity for large litigation without scaling headcount. 

Transforming a civil rights litigation law firm with CoCounsel

See how Justly Prudent doubled litigation capacity for complex cases that require extensive briefing and document review.

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AI for legal documents: Unlocking a competitive edge

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Agentic AI in practice: Streamlining discovery and legal research workflows for legal professionals

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Reporting on litigation: A checklist for in-house counsel

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Contract life cycle and compliance management

  • Track renewal dates, obligations, and compliance triggers automatically instead of relying on spreadsheets or memory.
  • Compare redlines against a gold standard template to speed up negotiation cycles.

CoCounsel empowers Brinks to transform legal workflows and drive impact

See how Brinks reimagined what was possible with AI tools for compliance presentations, contract creation, and redlining tasks.

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How AI enhances contract lifecycle mana

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What to do if you think your company breached a contract

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Shift from 'handling contracts' to contract life cycle management

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Analyze contracts using Fiduciary-Grade AI™, built for the legal profession

CoCounsel Legal uses authoritative legal sources, including Westlaw primary law, Practical Law guidance, and your organization's knowledge, so you can review and analyze contracts faster and with confidence.

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Frequently asked questions

AI document analysis uses legal technology to read, categorize, and extract information from contracts and other legal documents at scale. Instead of a person reading every page, the AI surfaces the clauses, obligations, dates, and risks that matter, so legal teams can review by exception rather than from scratch.

Contract review work can take hours per contract — but AI-based contract review software identifies key clauses, flags missing or non-standard language, and extracts information relevant to a specific client, matter, or deal type. It doesn't replace legal judgment; it clears the administrative work so reviewers can focus on interpretation and risk assessment.

Yes. AI models trained on legal language can identify and extract specific clauses, obligations, and defined terms across hundreds or thousands of documents at once, returning results in a searchable, structured format rather than a stack of PDFs.

In due diligence, AI analyzes entire data rooms, categorizing and flagging documents, extracting obligations and risk factors, and updating findings automatically as new documents are added mid-deal. This capability lets deal teams review more of the data room, more consistently, without extending the timeline.

E-discovery AI sorts through large, often unstructured evidence sets such as emails, chats, and scanned files to identify which documents are relevant. It speeds up first-pass review while leaving relevance and privilege calls to the legal team.

Yes. AI can compare a contract draft against a prior version or a standard template, surface what changed, and flag deviations from preferred positions, which is particularly useful during negotiation when multiple redlines are moving at once.

AI contract review tools can be trained to recognize clauses that fall outside a company's risk tolerance or compliance requirements, such as missing indemnification language, unfavorable termination terms, or non-standard liability caps, and route them for attorney review.