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AI FOR LEGAL SERVICES

Custom AI/ML solutions for legal services industry

Custom AI and ML for law firms, in-house counsel, and legal-tech vendors. Contract analysis, brief drafting, deposition prep, and e-discovery — built for billable-hour workflows.
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74%

Of legal billable work that could be automated with AI per 2026 industry research.

60–80%

Document-review time and cost reduction with intelligent filtering and LLM review.

6–8 → 2–3 hr

Deposition-prep time compression with AI transcript summarization and organization.

Achieve immediate, organization-wide results

Six measurable outcomes across underwriting, claims, and actuarial functions — deployed in months, not years.

Contract Analysis & Drafting

Clause extraction, redline generation, and risk scoring on inbound and outbound contracts.

Legal & Patent Research LLMs

Case law, statute, and patent prior-art retrieval with citation verification. Custom over your firm's privileged corpus + Westlaw / Lexis / USPTO / EPO / WIPO sources.

E-Discovery & Document Review

TAR / predictive coding plus modern LLM-based privilege and responsiveness review. 60–80% time reduction.

Deposition & Litigation Prep

Transcript summarization, witness Q&A drafting, and exhibit-prep automation. 6–8 hr → 2–3 hr per deposition.

Brief Drafting & Citation Check

First-pass brief drafting against fact patterns, jurisdiction-specific case law, and your firm's preferred templates.

Compliance & Regulatory Analysis

Multi-jurisdiction regulatory tracking, obligation mapping, and policy-impact analysis for in-house counsel.

Capabilities across the legal services value chain

Research & Drafting

  • Case-law and statute retrieval with citation verification
  • First-pass memo and brief drafting
  • Jurisdiction-aware language and template selection
  • Plain-language summarization for client comms

Litigation Support

  • E-discovery with TAR / predictive coding
  • Privilege and responsiveness review
  • Deposition transcript summarization
  • Trial-exhibit prep and timeline construction

Contract & Transactional

  • Clause extraction and risk scoring
  • Redline generation against playbook
  • Patent prior-art search and IP landscaping
  • Obligation extraction and tracking

Practice Management & Compliance

  • Multi-jurisdiction regulatory tracking
  • Matter-time-cost prediction for flat-fee pricing
  • Conflict checking and client intake automation
  • Internal policy and CLE management LLMs
From the playbook

How a 200-attorney litigation boutique cut document-review hours 72% and won three more matters

A 200-attorney litigation boutique was losing competitive bids on mid-size matters because their per-hour pricing couldn’t compete with AmLaw 100 flat-fee proposals. We deployed a privilege and responsiveness review LLM trained on their prior dispositioned-doc corpus, integrated with Relativity and Everlaw. Document-review hours dropped from 4,800 to 1,344 on a typical 200K-document matter — a 72% reduction — letting partners bid flat fees competitive with the AmLaw 100 while preserving margin. The firm won 3 incremental matters worth $4.2M in the first 8 months, and the same review pipeline now feeds early-case-assessment dashboards used in pitch decks.

See more case studies →

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Speak with a legal services AI expert

A 45-minute scoping call. We’ll come prepared with your appetite, your loss-cost benchmarks, and a directional read on which models move the needle on your line of business.

Ask us about

  • Contract analysis, clause extraction, and redline generation
  • Case-law and patent prior-art research-AI with citation verification
  • E-discovery with TAR + LLM privilege review
  • Deposition transcript summarization and witness prep
  • Multi-jurisdiction regulatory and obligation tracking
  • Matter-time-cost prediction for flat-fee pricing

    Contact Us
    Need experts to collaborate with for your AI/ML journey? Drop us an email and we will get in touch

    Frequently asked questions

    Can your models handle privilege and confidentiality without exposing client data?
    Yes. All training and inference happens in your environment or single-tenant cloud you own. Client data never leaves your perimeter, never trains foundation models, and never co-mingles across matters. We support ethical-wall configurations, matter-specific access controls, and the data-segregation rules ABA Model Rule 1.6 and most state bars require.
    Yes. We integrate with iManage, NetDocuments, SharePoint, Box, and most major DMS platforms via standard APIs. E-discovery connects to Relativity, Everlaw, Reveal, DISCO, and Logikcull. Outputs publish back as redlined Word docs, Excel coding sheets, and tagged matter folders that fit existing workflows.
    With verified-retrieval architectures. Every citation our research LLMs produce is validated against Westlaw, Lexis, or your firm's preferred primary-source database before surfacing. Brief drafts ship with a citation-verification report so attorneys see exactly which authorities have been confirmed and which need manual review.
    Yes. The underlying ML platform (document ingest, feature store, model registry, monitoring) is reusable across practice areas. Domain models differ — litigation focuses on review and deposition, transactional on contract analysis, regulatory on obligation tracking, in-house on policy and matter management — but most multi-practice firms run one shared stack with multiple model families.

    Explore AI/ML solutions for legal services

    Ready to talk legal services AI?

    Start with a 45-minute strategy session. We come prepared with a directional read on your line of business and a scoped proposal.

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