AI for Attorneys & Law Firms

Case timeline construction is foundational litigation work. A complex matter may involve hundreds of events across years; mapping them to facts, witnesses, and exhibits is time-consuming and error-prone. AI compresses this work substantially.

What AI handles

• Event extraction from documents
• Chronological ordering
• Cross-reference to witnesses and exhibits
• Pattern detection across events
• Timeline visualization

What attorneys handle

• Strategic decisions on timeline scope
• Inclusion criteria for events
• Case theme integration
• Final review for accuracy

The standard workflow

Step 1: Define scope (15-30 min)

• Time range
• Event types to include
• Witnesses and parties relevant
• Connection to case theory

Step 2: AI-assisted event extraction (2-4 hours vs 8-16 manual)

• AI processes case documents, depositions, communications
• Extracts dated events with context
• Cross-references to source documents

Step 3: Attorney review and refinement (2-4 hours)

• Verify event accuracy
• Add events AI missed
• Remove events not relevant
• Add strategic context

Step 4: Timeline visualization (1-2 hours)

• Generate visual timeline
• Integrate with case management
• Prepare for trial use

Tools

• Harvey or Casetext CoCounsel for document analysis
• Specialized timeline tools (TrialDirector, Sanction)
• Custom Claude or ChatGPT workflows
• Visualization tools (LucidChart, custom)

Compliance and verification

• Every event verified against source document
• Every cross-reference confirmed
• Errors in timeline can become problematic at trial

Time savings

50-60% compression typical on timeline construction. Larger matters with more events see proportionally bigger gains.

Bottom line

Case timeline construction AI is one of the cleaner litigation AI wins. The work is document-heavy and structured. The compression is real and the verification discipline is straightforward.

For complex litigation, AI timeline construction is increasingly standard rather than optional.

BriefCatch and Wordrake are the two leading legal-specific writing edit tools. Both polish attorney writing; they take different approaches.

The short answer

• BriefCatch: Legal-specific brief polish, finds awkward phrasing, suggests legal-tailored improvements
• Wordrake: Plain-English improvement, deletes unnecessary words, broader writing focus

Many attorneys use both. They complement rather than compete.

BriefCatch capabilities

• Specialized for legal briefs
• Finds awkward legal phrasing
• Suggests legal-tailored improvements
• Strong on persuasive writing patterns
• Word-native plugin

Wordrake capabilities

• General writing improvement focus
• Aggressive at cutting unnecessary words
• Plain-English emphasis
• Works on all professional writing
• Word-native plugin

Pricing (2026)

BriefCatch: ~$200/year per user Wordrake: ~$150/year per user

Both are accessible at solo and firm scale. Often bundled or discounted for firms.

When BriefCatch wins

• Heavy brief-writing practice
• Litigation focus
• Persuasive writing emphasis
• Want legal-specific edits

When Wordrake wins

• Mixed practice (legal + business writing)
• Plain-English priority
• General writing improvement
• Cross-firm deployment (legal + non-legal staff)

The combined approach

Many attorneys use both:

• Wordrake first pass — cuts unnecessary words
• BriefCatch second pass — legal-specific polish
• General AI third pass — final refinement

Total time investment increase: 5-10 minutes per document. Quality improvement: significant.

What we deploy

For litigation-focused firms: BriefCatch primarily, Wordrake supplementarily.

For mixed-practice firms: Both, with attorney choice based on document type.

For solo attorneys: Pick one based on practice focus, supplement with general AI.

Bottom line

BriefCatch and Wordrake are both useful legal writing edit tools at accessible pricing. BriefCatch for legal-specific polish; Wordrake for plain-English improvement. Both improve writing quality with modest time investment.

Worth either or both for most attorneys focused on writing quality.

Most law firm AI deployments focus on individual tools. The bigger wins come from team productivity — how lawyers, paralegals, and support staff work together with AI augmentation.

The team productivity frame

Individual tools recover 3-5 hours/week per attorney. Team productivity improvements compound to 8-15 hours/week per attorney through better coordination.

The difference:

• Individual: Faster research, drafting, document review
• Team: Better coordination, less duplication, faster handoffs

Where team productivity wins emerge

Cross-attorney collaboration:

• Shared knowledge bases that compound
• AI-assisted document review where one attorney's work informs the next
• Workflow handoffs without information loss

Attorney-paralegal coordination:

• AI-assisted research that paralegal validates
• Document drafting where AI accelerates both attorney and paralegal work
• Better task allocation

Multi-office firms:

• AI-assisted coordination across geography
• Shared workflows
• Knowledge transfer

The infrastructure

Team productivity requires:

• Shared AI-augmented knowledge base
• Workflow tools that support handoffs
• Communication platforms with AI features
• Shared prompt libraries
• Cross-team training

Real-world impact

At firms running team productivity AI:

• Cross-practice case work compresses
• Knowledge transfer accelerates
• Junior attorney development improves
• Senior attorney leverage compounds

What we deploy

For firms working with us on team productivity:

• Shared AI knowledge bases
• Workflow tools integration
• Cross-team training
• Productivity measurement

Bottom line

Individual AI tools are the start. Team productivity AI is the compound win. Firms thinking only at individual tool level leave 2-3x value on the table.

The infrastructure is more complex but the returns scale faster.

iManage is the longstanding enterprise document management platform of choice at AmLaw firms. The 2024-2026 product cycle added meaningful AI features alongside their established document management capabilities.

What iManage AI does

• Smart document profiling and filing
• AI-enhanced search across document populations
• Compliance and risk monitoring
• Email and Teams integration
• Conflicts and intake AI features
• Partnerships with Harvey, Kira, and other legal AI

Where iManage wins

• AmLaw track record and stability
• Deep customization capability
• Both on-prem and cloud deployment options
• Extensive AmLaw integration ecosystem
• Established workflows

Where iManage falls short

• More expensive than competitors
• Implementation complexity
• Less cloud-native than NetDocuments
• Steeper learning curve

Pricing

Approximately $250-500/seat/month at enterprise scale. Custom enterprise pricing for AmLaw firms.

Comparing to NetDocuments

iManage has longer AmLaw track record and more customization. NetDocuments is more cloud-native. Most AmLaw firms run iManage; mid-size firms increasingly evaluate both.

Bottom line

iManage with AI is the default for AmLaw firms in 2026. The integration ecosystem with legal AI (Harvey, Kira, others) is extensive. For mid-size firms, NetDocuments may offer better cloud experience at slightly lower cost.

NetDocuments is one of the two dominant enterprise document management platforms for law firms (alongside iManage). The 2024-2026 product cycle added meaningful AI features. For firms on NetDocuments, the AI layer is the natural extension.

What NetDocuments AI does

• Auto-categorization of documents into matters
• Smart search across document populations
• Suggested document profiling
• Contract analysis (with partners or built-in features)
• Email and chat integration
• Compliance monitoring

Where it wins

• Enterprise scale handling
• Compliance posture
• Integration with major legal AI tools
• Cloud-native architecture
• Mobile capability

Where it falls short

• Premium pricing
• Learning curve for new users
• Less customizable than iManage at AmLaw scale

Pricing

Approximately $200-400/seat/month at enterprise scale. Multi-year contracts typical.

Comparing to iManage

NetDocuments is cloud-native; iManage has both on-prem and cloud. Many AmLaw firms prefer iManage for legacy reasons; mid-size firms increasingly choose NetDocuments for cloud simplicity.

Bottom line

NetDocuments with AI is a strong choice for mid-size firms and larger wanting cloud-native enterprise document management. The AI features are functional and improving. For firms already on NetDocuments: natural upgrade.

Chicago has substantial legal market. AmLaw 100 firms, boutiques, large in-house departments.

Local market

Kirkland & Ellis, Sidley Austin, Mayer Brown, McDermott Will & Emery, Winston & Strawn dominant. Plus many regional and boutiques.

What Chicago lawyers need

Standard AI legal stack (Harvey, CoCounsel, Spellbook). Plus specialized for Chicago courts and practice areas.

Local considerations

Local court rules (Cook County, federal Northern District), Illinois bar guidance on AI, regional practice patterns.

Bottom line

Chicago legal AI mature at AmLaw scale. Boutiques and mid-size catching up.